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Metro mid/senior AWS data engineering role with common skills and moderate brand, therefore medium competition.
Specialized AWS data engineering and Spark expertise increases domain specificity, reducing cross-industry interchangeability.
Explicit 6–10 years plus mandatory AWS, SQL, Python, PySpark, and IaC requirements impose high candidate filters.
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Design and deliver scalable, secure AWS data engineering platforms including batch and streaming data pipelines.
Own end-to-end technical delivery, including performance tuning, cost optimization, capacity planning, and production support.
Collaborate with global teams, architects, and clients to translate business requirements into technical data solutions and participate in architecture discussions.
6 to 10 years of relevant experience in AWS data engineering.
Strong hands-on experience with AWS data services: Amazon S3, AWS Glue, Athena, Redshift, plus SQL and Python expertise.
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.
Location requirement: Mumbai, Goregaon (DGS India).
Experienced Technical Lead comfortable with owning complete data platform lifecycle on AWS environments.
Proficient in designing cloud-native data lakes/warehouses and building scalable, fault-tolerant ETL workflows using Spark/PySpark and Python.
Skilled collaborator capable of working with global teams, architects, and clients to deliver enterprise-grade data engineering solutions aligned with business needs.