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Tier-1 brand, mid-level generalist role, metro location and broad skill requirements drive high competition.
Core data engineering skills are transferable but preferred healthcare experience creates moderate industry specificity.
Explicit years range plus mandatory PySpark, Snowflake, AWS and SQL create strict technical filters.
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Lead development and optimization of big data pipelines using Spark, Python, SQL, and AWS services.
Coach and mentor developers on technical skills and code quality, enforcing coding standards and maintainability.
Collaborate with cross-functional teams to deliver scalable, high-quality data solutions including ETL/ELT processes, data streaming, and API data ingestion.
4-8 years experience with Spark ecosystem, Python/Scala, MongoDB, Snowflake, AWS (EMR, Glue, S3).
6+ years IT experience with SDLC/Agile and SQL including complex query optimization.
Bachelor's or Master's degree in Computer Science, IT, or equivalent.
Location: Bangalore; Notice period not explicitly mentioned in the JD.
Experienced in designing and optimizing big data cloud pipelines particularly in AWS and Snowflake environments.
Strong technical leader with proven ability to mentor developers and enforce best practices in coding and data engineering.
Comfortable working in Agile settings collaborating with product managers, architects, data scientists, and cross-functional teams.