Learn various data engineering concepts, tools, and best practices.
Work with senior team members on data integration, ETL processes, and analytics solutions.
Gain hands-on experience with SQL, Azure Data Services, and Power BI.
Build a strong foundation in data engineering.

Support design, development, and maintenance of ETL processes for smooth data integration.
Assist in building and refining data models aligned with business objectives.
Integrate structured and unstructured data into centralized repositories.
Write, optimize, and troubleshoot T-SQL queries to improve efficiency.
Gain experience with Azure Data Factory and Azure Data Bricks for large-scale processing.
Monitor and troubleshoot ETL workflows, SQL scripts, and data pipelines.
Develop interactive Power BI dashboards and reports under senior guidance.
Engage with stakeholders to understand data needs and contribute to data-driven decisions.

Strong knowledge of SQL fundamentals (databases, indexing, query optimization).
Basic exposure to Python or Scala for scripting and automation.
Eagerness to learn cloud tools like Azure Data Factory and Azure Data Bricks.
Analytical mindset to identify patterns, troubleshoot issues, and suggest improvements.
Adaptability and enthusiasm to explore new technologies in data engineering.

BE / B.Tech / BCA / MCA / MS in Computer Science, IT, or related fields.
Recent graduates or final-year students with relevant coursework/projects are encouraged to apply.

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Milliman Off Campus Drive 2025 Hiring Freshers Trainee Data Solutions Engineer | 4-8 LPA