เงื่อนไขการค้นหา

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

ETL, DevOps, Automation, English

ประเภทงาน:

งานประจำ

• Design, implement, and optimize end-to-end data platforms on Azure and Databricks, covering storage, compute, security, and governance.
• Design and manage curated data layers and analytical datasets to support reporting, self-service BI, and advanced analytics use cases.
• Build, maintain, and monitor scalable batch and streaming ETL/ELT pipelines using Databricks, Spark, and Azure services such as ADF and Synapse.
• Develop reusable, version-controlled Databricks notebooks and workflows, implementing robust data transformation, cleansing, and validation logic.
• Establish and enforce data quality, lineage, security, and governance practices across the Databricks platform, ensuring compliance with regulatory requirements.
• Collaborate with cross-functional teams (architects, data engineers, BI developers, data scientists, and business stakeholders) to align solutions with business objectives and drive continuous improvement.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Undegrading of DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• Excellent stakeholder and pre-sales skills: translating requirements into architectures and leading solution design.
• Requirements:Minimum 10-12 years of experience.
• Possess 8+ years in solution, architecting, design and development experience in enterprise/ architecture projects in Azure / Databricks.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),.
• BI service support components (e.g. Data warehouse, extract-transform-load processes, databases).
• Azure Data Factory, Azure Databricks, Hadoop Exposure.
• Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
• Good command over verbal and written English.
• Strong Azure cloud and data services design (ADLS, networking, security, Synapse, Key Vault).
• Deep Databricks lakehouse expertise (Delta Lake, Unity Catalog, Spark performance tuning).
• Advanced data engineering with Spark and Azure-native orchestration (ADF/Synapse pipelines).
• E2E integration experience (Hybrid cloud model).
• Robust data governance, security, and compliance design, especially for regulated industries.
• Continued learning certifications, at least one of the following: Microsoft Azure Solutions or Databricks.
• Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software 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: 112452In 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, DevOps, Automation, English

ประเภทงาน:

งานประจำ

• Lead and Inspire: Drive the growth of our AI business and mentor a talented team.
• Innovate and Create: Develop and implement solutions using agentic AI solution, intelligent automation, and real-time data platforms for AI agents.
• Solve Complex Problems: Use data, analytics, and cognitive technologies to uncover hidden insights and inform critical business decisions.
• Collaborate for Success: Work alongside other practices to help clients build intelligent organizations and winning market strategies.
• Your role as a leader: 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, Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements: We're looking for someone who is excited by the challenge of turning data into actionable insights. While we have a few key skills in mind, we encourage you to apply even if you don't check every single box. We value a diversity of experience and a willingness to learn.A degree in Computer Science, Software Engineering, Statistics, Mathematics, or a related field. We value both academic and non-traditional backgrounds.
• Relevant experience in a client-facing or consulting role preferred. We are considering candidates for both Consultant (minimum 4 years of experience) and Senior Consultant (minimum 8 years of experience) levels.
• Excellent communication and interpersonal skills, with a passion for working effectively in a team.
• A creative and solution-oriented mindset, with a strong ability to develop and present new ideas.
• Key Skills and Experience:Experience designing and building cloud-based data solutions, both relational and NoSQL, with a preference for GCP.
• A knack for developing robust data integration pipelines for all types of data (batch, real-time, structured, and unstructured) for use by downstream AI and BI solutions.
• Familiarity with CI/CD processes for data workflows on major cloud platforms like AWS, Azure, or GCP.
• Strong SQL skills and an understanding of data warehouse modelling to bring together information from various sources into a cloud environment.
• Working knowledge of integration to enterprise applications such as SAP or Oracle.
• We'd also love it if you have:Experience with cloud-native data products such as BigQuery, Redshift, or Data Fabric.
• Familiarity with data visualization tools like PowerBI, Tableau, Qlik, or Looker.
• Strong cloud experience in GCP preferred though not mandatory.
• 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: 111203In 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.

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).