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Skills:

Big Data, Hive, SAS

Job type:

Full-time

• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact : [email protected].
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• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Skills:

ETL, SQL, Data Analysis

Job type:

Full-time

• Data Pipeline Development: Create and maintain optimal data pipeline architecture.
• Data Integration: Assemble large, complex data sets that meet functional and non-functional business requirements.
• Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
• Infrastructure Building: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS technologies.
• Master Data Management (MDM): Implement and manage MDM solutions to ensure data consistency, accuracy, and reliability across the organization.
• Data Lake Management: Design, build, and maintain data lakes to store structured and unstructured data, enabling advanced analytics and machine learning.
• Collaboration: Work with stakeholders including data, design, product, and executive teams to assist with data-related technical issues and support their data infrastructure needs.
• Data Analysis Tools: Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
• Technical Skills: Proficiency in SQL, Python, big data technologies such as Hadoop, Spark, and AWS, as well as MDM tools and data lake technologies..
• Technical Skills: Platforms, Databases, Programming Languages, Software Appliance: - Oracle: Data Integrator, Golden Gate - Informatica: Data Quality, Data Governance, Dynamic Data Masking, Big Data Management, Enterprise Data Catalog, Intelligent Data Management Cloud, Informatica Master Data Management.
• Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information..
• Experience: Prior experience in data engineering or a related field, with a solid understanding of data architecture, data modeling, MDM, and data lakes..
• Solution Advisor for Analytics, Cloud, Big Data, and Data Governance.
• Architect MDM solutions, including data modeling, match and merge rule configuration, hierarchy management, and data governance frameworks.
• Designed and implemented ETL processes for integrating MDM solutions with various ERP and CRM systems.
• Perform data quality assessments, cleansing, and validation tasks to maintain data accuracy and reliability.

Job type:

Full-time

• เราให้ความสำคัญกับพนักงานทุกคนอย่างเท่าเทียม ปลูกฝังให้ทุกคนยึดมั่นในการประกอบสัมมาชีพ อย่างมีบรรษัทภิบาลที่ดี.
• เราให้ความสำคัญต่อการพัฒนาศักยภาพพนักงานในทุกๆ ด้าน ด้วยโปรแกรมการฝึกอบรมคุณภาพให้เหมาะสมกับแต่ละคน เพื่อยกระดับการทำงานของพนักงานอย่างมืออาชีพ.
• สำนักงานใหญ่ของบางจาก ถูกออกแบบให้เป็น Smart Office and Smart Display Solution ที่มีความหรูหรา ทันสมัย และประหยัดพลังงาน.
• ความอบอุ่นแบบพี่น้อง คือหัวใจในการดูแลพนักงานใหม่ที่ก้าวเข้ามาในครอบครัวของเรา.
• ความปลอดภัยในการทำงานยังเป็นอีกหนึ่งสิ่งที่สำคัญสูงสุดของธุรกิจปิโตรเลียม ดังนั้นพนักงานบางจากทุกคนจึงต้องผ่านการอบรมตามมาตรฐานความปลอดภัยและอาชีวอนามัยอย่างเข้มข้น.
• พนักงานสบายใจได้กับโปรแกรมประกันสุขภาพ OPD/IPD และเรายังให้เงินช่วยเหลือค่ารักษาพยาบาลสำหรับบุพการี.
• Work life balance คือสิ่งสำคัญ เวลาการทำงานที่ยืนหยุ่นทำให้คุณจัดสรรเวลาได้อย่างลงตัว.

Skills:

Sales, Hadoop, ETL, English

Job type:

Full-time

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in software sales or account management.
• Experience promoting analytics, data warehousing, or data management software.
• Ability to communicate fluently in English and Thai fluently in order to communicate for APAC customers.
• Experience with business intelligence front-end, data analytics middleware, or back-end data warehouse technologies.
• Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
• Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework, etc.).
• Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Dataproc, Pub/Sub, etc.).
• Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
• Excellent business acumen and problem-solving skills.
• As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
• In this role, you will build an understanding of our customers businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with account teams, customer engineering, and partners to ensure customer outcomes.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Calibrate business against the objectives and key results, forecast and report the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing long-term strategic direction.
• Develop and execute strategic account plans, including a broader enterprise plan across key industries. Focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiation and measurable business impacts.
• Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Skills:

Data Analysis, ETL, Data Warehousing

Job type:

Full-time

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

Skills:

Research, Automation, Statistics

Job type:

Full-time

• Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
• Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
• Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
• Minimum of 3 years' experience in data engineer roles.
• Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
• Experience with data tools and languages like CLOUD, Python, Java similar.
• Experience with data processing, ETL and workflow and messaging queue like Kafka.
• Data Warehousing.
• Data Structure.
• ETL Tools Programming Languages (Python, Java, Pyspark).

Experience:

1 year required

Skills:

Cloud Computing, English

Job type:

Full-time

• Design, build, and maintain cloud architectures on Alibaba Cloud.
• Manage cloud resources such as computing, networking, and storage.
• Evaluate and optimize the performance of applications and cloud services.
• Perform data and application migration to cloud environments.
• Ensure data security and privacy through appropriate protective measures.
• Support API usage and automation tools to enhance process efficiency.
• Bachelor s degree in Computer Science, Software Engineering, or related fields.
• At least 3 years of experience working with cloud systems, preferably Alibaba Cloud.
• Expertise in key Alibaba Cloud services such as ECS, VPC, SLB, OSS, RDS, etc.
• Ability to write scripts and use Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Understanding of DevOps and Continuous Integration/Continuous Deployment (CI/CD).
• Knowledge of networking, security, and system management.
• Strong problem-solving and analytical skills.
• Alibaba Cloud certification is advantageous (e.g., ACP - Alibaba Cloud Professional).
• Location: MRT Pethchaburi / BTS Asok / WFH (Hybrid)
• Flexible Working Hours: 9:00-18:00 / 8:30-17:30.
• Social security.
• Free Lunch, Snack and Drink.
• Budget for training.
• Group Insurance / Annual dental medical insurance.
• Bonus depends on company and personal performance.
• Annual Leave (depends on number of working years).
• Birthday Leave.
• Annual company trip..
• สนใจร่วมงานกับเรา อย่ารอช้า! ส่ง Resume มาได้เลย.
• สอบถามเพิ่มเติม.
• โทร.095-9473186 | LINE ID: 0959473186.
• บริษัท โค้ดดีวา จำกัด | https://codediva.co.th/.

Skills:

Python, PowerShell, Bash

Job type:

Full-time

• Implement, manage, and audit Identity and Access Management (IAM) policies, enforcing the principle of least privilege.
• Implement and manage vulnerability management programs for clients' cloud environments using both native and third-party tools.
• Continuously monitor and assess the security posture of cloud environments, identifying and remediating misconfigurations.
• Deploy, configure, and maintain cloud security solutions; automate security tasks using scripting (Python, PowerShell, Bash).
• Monitor security logs and alerts, investigate security events, and participate in incident response activities.
• Collaborate closely with clients' technical teams to provide security guidance and support solution implementation.
• Stay updated with the latest security threats, vulnerabilities, and best practices, and proactively enhance clients' security postures.
• Bachelor s degree in Computer Engineering, Computer Science, Cybersecurity, or a related technical field (or equivalent practical experience).
• 3+ years of hands-on experience in IT security, with at least 2 years specializing in cloud security engineering (AWS and/or Azure).
• Strong hands-on experience with AWS and/or Azure IAM services.
• Proven experience implementing and managing vulnerability management programs within AWS and/or Azure.
• Demonstrable experience in security posture management, utilizing automation and cloud-native tools.
• Proficiency in scripting languages (Python, PowerShell, Bash) for security automation and integration.
• Hands-on experience with data reporting from multiple sources and formats (e.g., CSV, JSON, XLSX, SQL).
• Solid understanding of incident response methodologies and experience in incident response activities.
• Strong grasp of core security principles (e.g., least privilege, defense-in-depth, zero trust).
• Exceptional problem-solving, analytical, and troubleshooting skills.
• Excellent written and verbal communication skills.
• Ability to work independently, manage multiple priorities, and perform effectively in a fast-paced environment.
• Engineering Specialist (Database).
• Design and implement new database systems and enhance existing ones for enterprise clients.
• Deploy and migrate databases to cloud platforms (e.g., Amazon RDS) and on-premises environments.
• Develop, implement, and test database backup and recovery strategies to ensure business continuity.
• Collaborate with development teams to ensure database design and development best practices are applied.
• Manage database security, including user access, roles, and permissions.
• Bachelor s degree in Computer Science, Information Systems, or a related field.
• At least 5 years of experience in database administration.
• Amazon RDS (Oracle, SQL Server).
• Oracle Database Administration.
• Microsoft SQL Server Administration.
• Proficiency in SQL and query optimization.
• Experience with database backup and recovery strategies and database security best practices.
• Hands-on experience with Linux and Windows server environments.
• Familiarity with scripting languages (Shell, Python, PowerShell) for database automation.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively.
• Ability to manage multiple tasks and set priorities effectively.

Job type:

Full-time

• Work closely with product and business team leader to understand and execute a product strategy that aligns with the company's overall business goals. This may include conducting market research, analyzing of the competitor landscape research and needs. Collaborating with other and technical team to identify product requirements.
• Understand the selling process including operation players, definition of services and policies of business process and engage with various team functions for gathering inputs for generating business outcome (engineering, operation, IT, support, billin ...
• Develop and execute a product roadmap: gathering and analysis business needs to define the value proposition to delivery.
• Develop new technology product partners to continuously product improvement.
• Learn to build product offering (price strategies, promotion plan) to address target segment.
• Build internal team relationships across AWN to deliver and support the right results for business growth.
• Develop product materials (decks, used case, technical specifications, demo) and manage regular updating.
• Monitor and tracking business performance and preparing regular reports.
• Bachelor s degree in IT or Telecommunications.
• 2-3 year experience in product management, pricing, product development, and/or related areas.
• Proven track record of taking ownership and driving results.
• Proven ability to deliver results and prioritize tasks in a fast-moving, dynamic environment.
• Collaborative and enthusiastic attitude.
• Open-minded and enjoys solving problems.
• PC skills; Advance on Excel (Pivot table/Data analysis such as Power Bi), Intermediate on Word/PowerPoint.
• Past experience in Product Development or driving enterprise Cloud product is a plus.
• Verbal and written interpersonal skills in English.
• Preferred Qualifications.
• Prior experience in Enterprise Cloud Business and Technology is a major plus..
• AIS Cloud Business Development Specialist.
• Work closely with product and business team leader to understand and execute a product strategy that aligns with the company's overall business goals. This may include conducting market research, analyzing of the competitor landscape research and needs. Collaborating with other and technical team to identify product requirements.
• Develop product offering or price strategies, promotion plan, or special pricing to address target segment or channel.
• Manage the creation of product materials and drive go-to-market strategies by collaboration with cross-functional teams.
• Build internal team relationships to deliver and support the right results for business growth.
• Drive sales enablement by leading the sales strategies and demand generation.
• Develop sales tools including pitch decks, case studies, and product demos.
• Develop and lead the execution of channel partners roadmap: Understand of product strategies, strengths, weaknesses, value proposition and challenges in growing business together.
• Monitor and tracking business performance and preparing regular reports.
• Bachelor s degree in IT Product Marketing, Business Administration, Telecommunications a related field.
• 3+ year experience in business management, pricing, and/or product marketing, business development, and / or related areas.
• Proven track record of taking ownership and driving results.
• Proven ability to deliver results and prioritize tasks in a fast-moving, dynamic environment.
• Collaborative and enthusiastic attitude.
• Open-minded and enjoys solving problems.
• PC skills; Advance on Excel (Pivot table/Data analysis such as Power Bi), Intermediate on Word/PowerPoint.
• Past experience in Business Development experience or driving enterprise product is a plus.
• Verbal and written interpersonal skills in English.
• Preferred Qualifications.
• Prior experience in Enterprise Cloud Business and Technology is a major plus..

Experience:

3 years required

Skills:

Salesforce, ERP, Automation

Job type:

Full-time

• Platform Engineering & Configuration: Lead the hands-on development, intricate setup, and specialized configuration of Salesforce Data Cloud to consolidate customer information from diverse sources.
• Data Pipeline Construction: Design, build, and maintain high-performance data pipelines and data processing routines to ingest, restructure, and standardize data from various systems (CRM, ERP, external platforms) into Salesforce Data Cloud.
• System Interoperability: Develop and deploy integrations using APIs and connectors, ...
• Data Structure & Schema Design: Translate business requirements into efficient and scalable data schemas within Salesforce Data Cloud, focusing on data integrity, security, and optimal performance.
• Process Automation: Create and manage automated processes, intricate workflows, and tailored solutions to enhance data management and enable personalized experiences within the platform.
• Performance Tuning: Proactively monitor system health, fine-tune data queries, and resolve technical issues to ensure the smooth and effective operation of Salesforce Data Cloud.
• Technical Documentation: Produce comprehensive technical artifacts, such as data flow diagrams, integration specifications, and solution architectures.
• Cross-functional Collaboration: Partner closely with functional consultants and business units to understand technical requirements and deliver resilient data solutions.
• At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Consultants across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• Requirements:Minimum 3+ years of direct development experience with Salesforce Marketing Cloud, Data Cloud or similar enterprise-level customer data platforms (CDP).
• Significant technical expertise across the broader Salesforce ecosystem (e.g., Sales Cloud, Marketing Cloud, Service Cloud).
• Demonstrated proficiency with data integration platforms.
• Strong command of SQL, APIs (REST/SOAP), and advanced data transformation methodologies for data orchestration and migration.
• Practical experience in data modeling, working with data lakes, and cloud-based data storage solutions across major providers like AWS, Azure, Google Cloud, and others.
• Experience with scripting languages (e.g., Python, JavaScript) for data manipulation and automation is a plus.
• Familiarity with various BI and analytics tools from a data integration viewpoint.
• Understanding of data privacy regulations and secure data handling principles.
• Essential CDP Specific Skills: Identity Resolution, Data Governance Implementation, Real-time Data Processing, Audience Activation.
• Highly Preferred Salesforce Certifications:Salesforce Data Cloud Accredited Professional.
• Salesforce Platform Developer I / II.
• Salesforce Integration Architect Designer.
• Salesforce Data Architect.
• Salesforce Marketing Cloud Developer.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. Requisition ID: 108919In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Skills:

Finance, Risk Management, DevOps

Job type:

Full-time

• Manage day-to-day activities of a team of Security Architect Engineers.
• Design and implementation of advanced security architectures for applications, networks, and systems.
• Conducted comprehensive risk assessments and developed mitigation strategies.
• Design and implement security monitoring and incident response solutions.
• Stay abreast of emerging threats and vulnerabilities in the finance and crypto industry.
• Collaborate with cross-functional teams to ensure secure development practices.
• Mentor and guide junior security engineers.
• Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent professional experience.
• At least 2 years of experience in a security engineering role.
• Solid knowledge of security principles, cryptography, secure coding, threat modeling, and risk management.
• Familiarity with cloud security practices and secure DevOps methodologies.
• Demonstrates strong problem-solving, analytical, and critical thinking skills.
• Effective communication prioritization and collaboration abilities; work well in cross-functional teams.
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*..
• Don't forget to 'Like' and 'Follow' our social media channels so you won't miss any news from us. Click.

Experience:

3 years required

Skills:

Salesforce, Sales, Compliance

Job type:

Full-time

• Platform Strategy & Solution Design: Lead the strategic design and configuration of Salesforce Data Cloud, translating complex business objectives into effective data strategies and solutions for comprehensive customer data unification.
• Business Needs Analysis: Collaborate extensively with business stakeholders (Marketing, Sales, IT, Customer Experience) to identify their data requirements, challenges, and goals, then translate these into clear functional specifications for data solutions.
• Data Model & Governance Design: Architect scalable and logical data structures within Salesforce Data Cloud, ensuring adherence to high data quality standards, robust security protocols, and compliance with regulations.
• Audience Segmentation & Personalization Strategy: Develop and implement strategies for creating precise customer segments, audience activation, and delivering personalized customer journeys based on insights derived from Salesforce Data Cloud.
• Analytics & Reporting Frameworks: Define crucial performance indicators (KPIs) and design comprehensive reporting frameworks, utilizing various Business Intelligence (BI) tools to deliver actionable business intelligence.
• Stakeholder Engagement & Alignment: Serve as the key bridge between business and technical teams, fostering clear communication and ensuring alignment throughout the project lifecycle.'.
• Solution Validation: Oversee User Acceptance Testing (UAT) to confirm that deployed solutions meet business needs and user expectations.
• Enablement & Knowledge Transfer: Develop and deliver training programs for business users on Salesforce Data Cloud functionalities, best practices, and data governance. Also, create thorough functional documentation.
• Performance Monitoring & Optimization: Monitor the effectiveness of implemented solutions and recommend functional enhancements to maximize the strategic value derived from Salesforce Data Cloud.
• At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Consultants across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• Requirements:3+ years of functional consulting experience with Salesforce Data Cloud or a comparable customer data platform like Adobe Experience Platform, Tealium, Segment, or Treasure Data.
• Significant functional expertise across the broader Salesforce ecosystem (e.g., Sales Cloud, Marketing Cloud, Service Cloud).
• Proven ability to translate high-level business requirements into detailed functional designs and lead productive discovery sessions.
• Understanding of the functional capabilities of data integration platforms (e.g., those offered by Informatica, Boomi, Talend, or others in the industry) to guide data flow discussions.
• Strong grasp of customer segmentation methodologies, data activation strategies, and personalization use cases.
• Proficiency in various Business Intelligence (BI) and analytics tools from a reporting and dashboarding standpoint.
• Deep comprehension of customer segmentation principles, data privacy regulations and data governance best practices.
• Essential CDP Specific Skills: Customer Journey Mapping, Use Case Development, Data Quality Management, Consent Management, A/B Testing & Optimization.
• Travel & Hospitality experience preferred but not essential.
• Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex concepts clearly to diverse audiences.
• Highly Preferred Salesforce Certifications:Salesforce Data Cloud Consultant.
• Salesforce Marketing Cloud Consultant.
• Salesforce Administrator.
• Salesforce Sales Cloud Consultant.
• Salesforce Service Cloud Consultant.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. Requisition ID: 108920In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Skills:

Software Development, DevOps, Automation

Job type:

Full-time

• Develop rollout schedules with engineering teams, defining milestones and dependencies.
• Communicate with stakeholders (Engineering, SRE, Platform, POs) to align release timelines and risks.
• Ensure proper documentation, including change logs and rollback plans.
• Review, prioritize, and track Change Requests (CRs) with engineering and product teams.
• Coordinate with the Change Advisory Board (CAB) for approvals and risk assessments.
• Identify and mitigate risks, ensuring backup plans for critical changes.
• Track KPIs (release frequency, success rate, downtime) to measure efficiency.
• Align release timelines with product roadmaps.
• Support engineering teams in final testing, pre-release verification, and sign-offs.
• Coordinate rollback or patches for critical post-release issues.
• Experience 3-5 years in release management, software development, or DevOps.
• Familiarity with CI/CD pipelines, cloud platforms, and deployment automation.
• Strong skills in planning, coordination, and stakeholder communication.
• Ability to assess risks, troubleshoot issues, and implement mitigation strategies.
• Experience working with cross-functional teams, including Engineering, SRE, and Product.
• Proficiency in release management tools (e.g., Jira, ServiceNow) and monitoring solutions.
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
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Skills:

Market Research, Research, Scrum, English

Job type:

Full-time

• Conduct market research and competitive analysis to identify trends, customer needs, and opportunities for innovation.
• Collaborate with stakeholders to gather, document, and analyze business requirements, ensuring alignment with strategic goals.
• Develop and maintain detailed product documentation, including user stories, use cases, workflows, and technical specifications.
• Analyze business processes and workflows, identifying inefficiencies and proposing solutions for optimization.
• Lead and participate in user testing and feedback sessions to validate product ideas, improve usability, and gather insights.
• Prioritize and refine product requirements based on business needs, market trends, and user feedback.
• Monitor and analyze key performance indicators (KPIs) to measure product success and inform decision-making.
• Prepare and present data-driven reports and recommendations to product and leadership teams.
• Develop business cases for new product initiatives and major investments, supporting strategic decision-making.
• Work closely with cross-functional teams to ensure the successful implementation of product features, enhancements, and optimizations.
• Facilitate client engagements and act as a trusted advisor, ensuring smooth communication and alignment with business objectives.
• Native Thai speaker is mandatory, and a good command of written and spoken English is essential.
• 3+ years of experience in business analysis, product management, or a related field.
• Proven ability to analyze complex business problems, identify opportunities, and drive product improvements.
• Strong data-driven decision-making skills, with experience in defining and tracking key product KPIs.
• Excellent communication and stakeholder management skills, with the ability to translate business needs into actionable insights.
• Deep understanding of digital products, business models, and market trends.
• Experience in agile environments, with familiarity in Scrum, Kanban, or Lean methodologies.
• Ability to work cross-functionally in fast-paced environments, collaborating with engineering, UX, and product teams.
• Proficiency in tools like Jira, Confluence, and SQL or data visualization tools (e.g., Power BI, Tableau) is a plus.
• Understanding of user research methodologies and UX principles is a plus.
• About us.
• Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.
• We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more.
• Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.
• For more information please visit https://sevenpeakssoftware.com and https://morphos.is/.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid Working Policy.
• Health & Life insurance.
• Provident Fund.
• Free Lunch every Wednesday.
• Learning and Certifications support.
• Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.
• Sponsorship for visa and work permit for expatriates.

Experience:

6 years required

Skills:

ETL, SQL, NoSQL

Job type:

Full-time

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Big Data technologies or concepts such as analytics warehousing, data processing and transformation, data governance, data migration, ETL/ELT, SQL and NoSQL databases, performance and scalability optimization, and batch versus streaming architectures.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience working with customer requirements, including breaking them down and designing corresponding technical architectures.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics and customer buying behavior.
• Experience in delivery of business analytics use cases within the banking or telco industry, from requirements gathering and solution design to implementation and insights generation.
• Experience with architecture design, implementing, tuning, schema design and query of and distributed systems.
• Experience in building machine learning solutions and leveraging ML architectures such as deep learning, convolutional neural networks (CNNs), and techniques for load shedding and traffic management.
• Ability to communicate in Thai fluently to support client relationships in this region.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• As a Customer Solutions Consultant, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have technical, communication and organizational skills.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Work with the team to identify and qualify business opportunities related, understand customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
• Share data analytics to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Skills:

Tableau, SQL, Power BI

Job type:

Full-time

• Develop, maintain, and optimize dashboards, reports, and visual analytics using BI tools such as Tableau or equivalent.
• Partner with business stakeholders to translate data needs into technical specifications and reporting logic.
• Define and maintain standardized metrics and KPIs across domains (e.g., product, marketing, operations).
• Write efficient SQL queries and collaborate with data engineers on data models and semantic layers.
• Enable and support self-service analytics by building curated datasets and reusable components.
• Ensure data accuracy, consistency, and security in BI assets.
• Bachelor s degree in Information Technology, Computer Engineering, Computer Science, Business Analytics, or related field.
• 3+ years of experience in BI/report development or analytics engineering, fresh graduate with strong potential will also be considered.
• Proficient in SQL and one or more BI tools (e.g., Tableau, Power BI, Looker, Superset).
• Familiarity with data modeling concepts (e.g., star/snowflake schema, dimensional modeling).
• Comfortable working with large datasets and cross-functional teams.
• Strong attention to detail and a passion for turning data into actionable insights.
• Nice to Have.
• Experience with modern data stacks (e.g., dbt, Airflow, cloud warehouses).
• Knowledge of version control tools (e.g., Git) and CI/CD concepts for BI assets.
• Exposure to big data environments like Cloudera and Databricks.

Skills:

Digital Marketing, Statistics, Python

Job type:

Full-time

• Drive clear and effective business translation of AI/ML products between business and technical stakeholders.
• Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives.
• Analyze Big Data to develop effective predictive and recommendation models.
• Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance.
• Continuously refine and enhance AI models through testing and performance evaluation.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/MLprojects..
• Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
• Proficiency in some of the following: Python, PySpark and SQL etc.
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Skills:

Statistics, Data Analysis, SQL

Job type:

Full-time

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

Skills:

Automation, Research, Industry trends

Job type:

Full-time

• Identify, assess, and recommend emerging digital technologies (AI, IoT, blockchain, automation, predictive analytics) to improve operational efficiencies in refinery, renewable energy, bio-based businesses, and other BCP subsidiaries..
• Build relationships with technology providers, research institutions, startups, and venture capital networks to access disruptive innovations..
• Stay ahead of industry trends and develop insights into how digital technologies can drive competitive advantages for BCP..
• AI & Digital Project Development.
• Lead AI-driven projects and digital transformation initiatives, working with internal business units and external partners..
• Collaborate with operational teams to implement predictive maintenance, process optimization, supply chain improvements, and energy efficiency solutions..
• Support proof-of-concept (PoC) and pilot projects, ensuring scalability and financial viability..
• New Business Creation & Synergy Development.
• Identify new revenue opportunities through digital transformation and strategic partnerships, leveraging BCP s existing resources..
• Drive business model innovation by integrating AI, digital platforms, and ecosystem collaboration to create synergies across BCP and its subsidiaries..
• Work closely with corporate venture capital (IVC team), business development, and operational leaders to bring new digital business models to market..
• Stakeholder Engagement & Ecosystem Development.
• Act as a bridge between BiiC, startups, corporate partners, and internal business units to drive digital innovation projects..
• Join industry forums, innovation networks, and research collaborations..
• Join Ecosystem and Incubation team in workshops, hackathons, and innovation challenges to identify high-potential digital solutions..
• Bachelor s or Master s degree in Digital Technologies, AI/Data Science, Engineering, Computer Science, Business Innovation, or a related field..
• 2+ years of experience in digital transformation, AI, emerging technologies, or innovation consulting (experience in energy, sustainability, biotech, or industrial sectors is a plus)..
• Strong knowledge of AI applications and data analytics. (IoT, cloud computing, automation is a plus).
• Experience in scouting, evaluating, and implementing new technologies or digital business models is a plus.
• Ability to collaborate cross-functionally with technical and business teams..
• Experience working with startups, corporate innovation programs, or investment teams is an advantage..
• Excellent strategic thinking, analytical skills, and project management capabilities..
• Strong communication and stakeholder engagement skills.

Skills:

Finance, Accounting, Statistics

Job type:

Full-time

• Strategic Leadership in Data & AI Initiatives: Lead the planning, development, and execution of digital, data, and AI strategies aligned with business goals..
• Cross-functional Collaboration & Stakeholder Engagement: Act as a liaison between technical teams (data scientists, engineers) and business units (marketing, sales & operations, finance & Accounting).
• Oversight of AI/Data Solution Delivery: Ensure end-to-end delivery of high-impact AI/data projects..
• Design and implement enterprise-level data and AI architectures that drive strategic business outcomes.
• Evaluate and select the best technologies and frameworks for data and AI initiatives.
• Collaborate with stakeholders to define requirements and deliver tailored data solutions.
• Provide technical leadership in the integration of AI technologies with existing systems.
• Drive innovation by leveraging emerging trends in AI, machine learning, and big data.
• Establish architectural standards and best practices for data and AI solutions.
• Mentor technical teams, providing guidance on complex architectural challenges.
• Represent the organization s data and AI capabilities in discussions with executive leadership and external stakeholders.
• Bachelor s degree or Master s degree or Ph.D. in Statistics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Data Science, Economics, Business, AI, Machine Learning or related fields.
• At least 5 year+ experience in Software Engineer, Data Engineer, Data Scientist, AI Engineer or others.
• Experience in data and AI architecture, with significant experience in enterprise-level solution design.
• Experience in supply chain and logistics analytics based on SAP ECC and S/4 HANA.
• Extensive expertise in cloud platforms, big data technologies, and advanced AI frameworks.
• Professional certifications in architecture and AI solutions (e.g., TOGAF, Azure/AWS Data Scientist) are required.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.