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Tier-1 employer, metro location and broad data engineering scope increases candidate competition.
Core data engineering skills are transferable, though Barclays' regulatory and banking context favors finance experience.
Mandatory cloud, data and DevOps skills plus regulatory banking expectations imply strict filtering.
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Build, optimize, and maintain scalable data pipelines, cloud-native data platforms, and data warehouses ensuring data quality, security, and operational stability.
Lead and mentor data engineering teams, collaborate with business and technology stakeholders to drive data modernization and regulatory data delivery initiatives.
Set strategy, plan resources and budgets, manage policies and risks, and provide technical and operational leadership aligned with enterprise objectives.
Expertise in AWS Cloud technologies including DBT, Glue, Athena, S3, Lambda, Iceberg, Data Mesh.
Strong skills in Data Engineering & Data Warehousing: ETL/ELT, SQL, Python.
Experience with DevOps and Software Engineering Practices: GitLab, CI/CD pipelines, Infrastructure as Code, automation, and release management.
Work Experience Required: Not explicitly mentioned in the JD; Location requirement: Pune, India.
Experienced senior data engineering professional comfortable leading multi-year data transformation and regulatory projects with technical and operational accountability.
Proven ability to collaborate across business, architecture, and technology teams and influence stakeholders at senior levels.
Skilled in cloud data platforms and governance, with knowledge of financial services domain and regulatory requirements considered advantageous.