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Tier-1 brand, common Data Engineer title, metro location and broad technical requirements increase competition.
Financial-services regulatory experience and Ab Initio expertise limit portability, increasing domain-specific fit sensitivity.
Role demands niche Ab Initio expertise, leadership and strict data governance, raising shortlisting rigor.
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Lead design, development, and modernization of enterprise data platforms using Ab Initio, Hadoop ecosystem, and AWS cloud technologies.
Build scalable data solutions and drive migration of on-premise data processing workloads to AWS, defining target architecture and migration roadmaps.
Collaborate with business, architecture, and engineering teams to deliver data transformation initiatives while ensuring secure, reliable, and high-quality data delivery.
Strong Ab Initio development expertise (GDE, EME, Conduct>It, Continuous Flows, Metadata Hub).
Proficiency with Hadoop ecosystem technologies (Hive, Spark, HDFS, Impala, Oozie, Sqoop, Kafka).
Experience with AWS Cloud Data Services (Glue, EMR, Athena, S3, Lambda, Redshift, Iceberg).
Work Experience Required: Not explicitly mentioned in the JD
Experienced in leading data transformation initiatives and regulatory data delivery with stakeholder and delivery leadership skills.
Skilled in DevOps & CI/CD practices including GitLab, Jenkins, Infrastructure as Code, and automated deployments.
Familiar with data architecture, governance, quality management, and financial services risk domain knowledge relevant to Credit Risk, Basel, IFRS9, and regulatory reporting.