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Popular mid-level data engineering role in Mumbai with metro location and common skills drives high competition.
Cloud Databricks data engineering skills transfer across industries, but regulated enterprise experience raises specificity.
Explicit 6–8 years plus mandatory Databricks, cloud, MDM, and production-readiness skills increases shortlisting strictness.
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Design, build, and operate scalable, cloud-native data pipelines and platforms primarily on AWS using technologies like Databricks, PostgreSQL, and Aurora.
Ensure production readiness of data solutions by focusing on security, testing, observability, cost efficiency, data performance, reliability, and quality.
Collaborate with cross-functional teams including analysts, data scientists, AI engineers, and mentor junior engineers while contributing to standards and accelerators.
6-8 years of hands-on experience in data engineering roles.
Strong experience with Databricks including Data Engineering, Delta Lake, and Medallion Architecture.
Experience designing, building, and supporting scalable data pipelines from enterprise source systems.
Work Experience Required: 6-8 years (explicitly mentioned).
Experienced in transitioning AI-enabled applications from file-based solutions to governed Databricks-backed data services.
Comfortable working in production environments with a focus on operationalisation of proof-of-concepts into production-grade solutions.
Familiarity with regulated or security-conscious environments and client-facing delivery or consulting scenarios.