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Strong Tier-1 brand, common Data Engineer title and metro location create high candidate density.
Financial services regulatory expertise is preferred but core data engineering skills remain transferable across industries.
VP-level role mandates Ab Initio, Hadoop, AWS and leadership in a regulated bank, so filters are strict.
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Build and maintain data architectures including pipelines, data warehouses, and data lakes ensuring accuracy, accessibility, and security.
Lead design and modernization of enterprise data platforms using Ab Initio, Hadoop ecosystem, and AWS cloud services.
Drive data migration from on-premise to AWS, define target architecture and migration roadmaps, and collaborate with cross-functional teams on strategic data initiatives.
Strong expertise in Ab Initio (GDE, EME, Conduct>It, Continuous Flows, Metadata Hub).
Proficient with Hadoop ecosystem technologies (Hive, Spark, HDFS, Impala, Oozie, Sqoop, Kafka) and AWS Cloud Data Services (Glue, EMR, Athena, S3, Lambda, Redshift, Iceberg).
Experience with DevOps and CI/CD tools (GitLab, Jenkins, Infrastructure as Code, automated deployments).
Work Experience Required: Not explicitly mentioned in the JD; Location requirement: Pune.
Experienced leader able to manage data transformation initiatives and regulatory data delivery, mentoring teams and collaborating with multiple stakeholders.
Strong technical background with advanced skills in data engineering, cloud adoption, automation, and risk and control management.
Familiarity with financial services or risk domains (credit risk, Basel, IFRS9, regulatory reporting) and data governance including data quality, metadata management, and data stewardship.