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Tier-1 brand, generic Data Engineer title, metro location, broad required tech stack increases competition.
Core data engineering skills are transferable, but financial regulatory experience increases domain specificity.
Mandatory cloud, ETL, DevOps skills and regulatory delivery expectations make shortlisting highly strict.
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Build and maintain robust data architectures including data pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Lead and optimize scalable data engineering solutions aligned to business, regulatory, and analytical requirements, driving data modernization initiatives.
Mentor engineering teams, collaborate with stakeholders across business, architecture, and technology, and provide strategic recommendations managing risks and controls.
Strong expertise with AWS Cloud Technologies (DBT, Glue, Athena, S3, Lambda, Iceberg, Data Mesh, cloud-native platforms).
Proficient in Data Engineering and Warehousing skills including ETL/ELT, SQL, and Python.
Experienced in DevOps and Software Engineering practices such as GitLab, CI/CD pipelines, Infrastructure as Code, automation, and release management.
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune.
Senior-level professional capable of setting strategy, planning resources, and leading data engineering transformation initiatives at scale.
Experienced in collaborating with multi-disciplinary teams and managing stakeholder expectations in large, regulated enterprise environments.
Strong background in cloud-native data platforms and data governance with the ability to guide technical direction and mentor engineering teams.