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Tier-1 bank brand, metro location, but niche AbInitio and 12+ years reduces candidate pool.
Requires deep banking data engineering and AbInitio expertise, making cross-industry transitions difficult.
Explicit 12+ years, 8+ banking experience, and AbInitio mandate impose strict filters.
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Own end-to-end data engineering architecture for scalable, reliable, and secure data platforms.
Lead and grow a high-performing data engineering team aligned with strategic business goals.
Drive innovation in data systems leveraging AI, Big Data, and cloud-native technologies to enhance competitive advantage.
Bachelor's degree or equivalent experience required.
12+ years in data engineering and technology roles with progressive responsibility.
8+ years of experience in Banking or Financial Services domain.
Strong expertise in AbInitio, PySpark, Oracle, ETL/ELT, Big Data technologies, and experience with cloud platforms (AWS, Azure, GCP).
Experienced leader with proven ability to set technical strategy and scale data engineering teams in large enterprises, preferably financial services.
Deep knowledge of data architecture, large scale ETL, data governance, and workflow scheduling systems (Autosys, Control Centre).
Skilled in Agile methodologies and translating business objectives into technical solutions with measurable impact.