เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, DevOps, Automation, English

ประเภทงาน:

งานประจำ

• Design, develop, and optimize ETL processes using Databricks to support large-scale data processing and analytics.
• Build and maintain batch and stream ETL/ELT workflows for structured and semi-structured data using data bricks and Azure Services.
• Establish integration between prem platform and azure storage to establish the incremental copy.
• Develop efficient, reusable, and version-controlled Databricks notebooks and workflows.
• Implement data transformation, cleansing, and validation logic to ensure data accuracy.
• Design and manage curated data layers supporting reporting and advanced analytics.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Leverage SQL/Spark for data extraction, transformation, and analysis.
• Apply strong problem-solving and debugging skills to identify and resolve issues in data pipelines and workflows.
• Migrate the reports from Traditional database to Databricks environment with optimized schema and schema structures and validate the data.
• Collaborate with cross-functional teams to ensure data integrity, performance optimization, and alignment with business objectives.
• Implement DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• 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, Associates / Analysts / 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:Minimum 5 - 10 years of experience.
• Possess 5 years in solution, architecting, design and development experience in enterprise/ architecture projects.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Applying design concepts - Service oriented architecture, layered architectures, components, interfaces, messaging and patterns.
• Application integration service support components.
• 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.
• E2E integration experience (Hybrid cloud model).
• 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.
• work closely with application development and testing teams to support Data ETL build and supports project activities especially on Data and ETL platforms.
• Release Management (strong in GIT) and Azure Control M.
• Good to Have:Continued learning certifications, at least one of the following: AWS Certified Solutions Architect, Google Cloud Certified Architect, Microsoft Azure Solutions Architect,.
• 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: 111754In 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:

1 ปีขึ้นไป

ทักษะ:

SQL, Statistics, Python, English

ประเภทงาน:

งานประจำ

• Gather requirements and refine scope for data requests/projects from business users and management.
• Create comprehensive SQL queries to generate and conduct reports/dashboards for ad hoc requests from different business units.
• Develop and maintain ETLs for automatic reports and dashboards on the in-house data platform.
• Collaborate with relevant local and regional teams on data acquisition, alignment of business logic/definitions, and functional updates.
• Analyze quantitative data using statistical techniques and provide actionable insights to inform decisions/strategies.
• Work closely with business users in rolling out consumer campaigns with data and analysis support.
• Requirements:Bachelor's/Master's degree, preferably in Analytics, Statistics, Computer Science or Engineering.
• At least 1-2 years of experience in an Analytics, Business Intelligence or Data Engineer role with large, complex, high velocity data is preferred.
• Strong foundation in data query/manipulation using SQL and data visualization.
• Capable of making impactful contributions both as an individual and as a member of a team.
• Able to switch hats between data/technical speak and business/layperson speak.
• Strong analytical and problem-solving skills - possesses a relentless need for investigation and data exploration.
• Results-oriented with a keen eye for detail and ability to solve problems creatively and quickly.
• It s great if you have:Fluency in English.
• Experience in e-commerce or digital payment platforms.
• A global outlook and exposure to work with people from different cultures.
• Python/JAVA or similar programming background.

ทักษะ:

Business Development, Project Management, Excel, English

ประเภทงาน:

งานประจำ

• Competitor intelligence - To improve platform market share.
• Profitability initiative - To enhance platform profitability.
• Job Description: Manage market intelligence and monitoring across E-commerce and offline channel.
• Track market competition, growth, and commercial performance.
• Conduct in-depth analysis of platform competitiveness and profitability.
• Facilitate meetings and discussions to drive alignment on key business initiatives.
• Adapt quickly to changing business priorities and market dynamics.
• Collaborate with cross functional team to push initiatives and provide supporting data.
• Support ad-hoc projects, leading independent workstreams.
• Requirements: Bachelor's Degree in Business or related fields. (Fresh graduate is welcome to apply).
• Experience in consulting/platform business is a plus.
• Strong business acumen, critical thinking and ability to form actionable insights.
• Strong project management, stakeholder management and communication skills.
• Ability to adapt and thrive in fast-paced dynamic environment.
• Proficiency in Excel.
• Basic/good command of English.
• Good team player, with an aptitude for sales and the ambition to constantly outperform your KPI.

ทักษะ:

SQL, Python, Excel, English

ประเภทงาน:

งานประจำ

• Conduct analysis of internal and external data, utilizing SQL, Python, and Excel.
• Translate complex data analyses into accessible, business-focused reports to deliver actionable insights and recommendations to senior management.
• Develop, maintain, and automate dashboards, reports, and visualizations to support strategic decision-making.
• Serve as a consultant to cross-functional teams, collaborating to identify business challenges and enhance analytical capabilities.
• Review and optimize data systems and processes to ensure data integrity and operational efficiency.
• Requirements: Bachelor's or Master's degree in a relevant field.
• Advanced proficiency in SQL and Excel (Python is a plus).
• Fresh Graduate is preferred.
• Fluency in English.
• Submitting your resume today will ensure you're among the first to be notified when a suitable opportunity arises.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

SQL, Python, Excel, English

ประเภทงาน:

งานประจำ

• Developing reports, dashboards, analysis and some automations (will be generally with SQL, PYTHON, EXCEL, in-House tools).
• Assisting the various business units as a discussion partner to plan, strategise, and grow business by enabling data-driven decision-making.
• Serving as in-consultant who simplifies complex terminologies into more understandable insights to our internal clients.
• Producing actionable insights that will be used to support or devise new strategies.
• Requirements Master's or bachelor's degree in quantitative fields or a relevant field (e.g. Data Science/Computer Science) of study.
• 1-3 years experience in Data Analyst field.
• Experience using SQL languages for querying (Python is a plus).
• Experience working with multiple stakeholders across various divisions.
• Ability to make inferences from data and devise an appropriate course of actions.
• Time management to deliver deadlines.
• Satisfactory understanding of English.
• Comfortable working with large data sets and numbers.
• Self-starter with a can-do attitude.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Business Development, Data Analysis, English

ประเภทงาน:

งานประจำ

• Develop and design program mechanics, including creating program creatives and communication materials.
• Plan and execute program launches, ensuring clear and effective communication with Key Account Managers, Creators and Brand partners.
• Collaborate closely with cross-functional teams such as Key Account Managers, Marketing, Business Intelligence, Business Development, and others to ensure smooth coordination and project execution.
• Monitor program performance, identify key challenges, and proactively develop contingency plans to address issues.
• Conduct data analysis to gain insights into creator behavior and challenges, and identify new growth opportunities.
• Requirements: 0-2 years of experience, preferably in Marketing, Business Development, Business Consultant or related field.
• Strong business acumen and critical thinking skills. Comfortable working with numbers and performing data-driven analysis.
• Demonstrates a growth mindset, takes ownership of projects, team player, organized, and results-oriented.
• Proficient in both Thai and English, with effective communication skills.
• Able to work in fast-paced and dynamic environment.
• Fresh Graduates are welcome.