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Tier-1 bank, metro location, and generalist data engineering title balanced by niche Ab Initio requirement.
Heavy regulatory risk domain and Ab Initio specialization reduce cross-industry transferability.
Mandatory Ab Initio, Hadoop, AWS, regulatory delivery, and VP leadership make filters stringent.
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Lead design, development, and modernization of enterprise data platforms using Ab Initio, Hadoop ecosystem, and AWS cloud technologies.
Drive migration of on-premise data processing to AWS and define target-state architecture and migration roadmaps.
Collaborate with stakeholders to deliver strategic data transformation initiatives ensuring secure, reliable, and high-quality data delivery.
Strong expertise in Ab Initio development (GDE, EME, Conduct>It, Continuous Flows, Metadata Hub).
Experience 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 & CI/CD tools (GitLab, Jenkins, Infrastructure as Code, automated deployments).
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune, India.
Experienced in leading data transformation initiatives and managing stakeholder relationships in financial services or risk domains.
Strong background in data architecture, governance, quality, and security with the ability to design scalable, secure data solutions.
Capable of strategic planning, resource management, mentoring teams, and influencing cross-functional stakeholders with advanced technical and leadership skills.