Senior Data Engineer
Location: Noida, India
Department: Product Engineering - Cloud and Digital
Experience: • 5–10 years
Skills: Microsoft Azure, Snowflake
- Build batch ingestion pipelines for transaction data from multiple systems
- Develop transformations for structured analytics datasets
- Implement Bronze (raw), Silver (cleaned), and Gold (reporting) layers
- Handle schema variations across trading partners and systems
- Optimize queries and pipeline performance
- Collaborate with QA and BI teams to ensure data accuracy
- Use AI tools (Cursor, Copilot) to accelerate development of ELT pipelines and SQL queries
- Leverage AI for handling schema variations across trading partners and data sources
- Use AI-assisted debugging and optimization for pipeline performance
- Generate and refine transformation logic using AI, followed by manual validation
- 5–10 years in data engineering
- Strong SQL and experience with Snowflake / Azure data services / data warehouses
- Experience working with large-scale transactional data
- Experience handling EDI, XML, or semi-structured data formats
- Understanding of batch processing and pipeline orchestration
- Hands-on experience using AI tools for SQL development, pipeline creation, and debugging
- Ability to validate AI-generated code for correctness, performance, and scalability
- Experience using AI tools in data engineering workflows (ELT, batch pipelines)
- Experience in supply chain, logistics, or financial transaction systems
- Familiarity with data quality checks and validation frameworks
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