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Tier-1 brand, Bengaluru location, mid-level generalist data role with broad skills increases candidate competition.
High—requires financial services operational domain expertise, data governance, and regulated-environment experience.
Explicit 5+ years, regulated domain and strong data governance requirements create strict shortlisting filters.
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Own end-to-end data foundation supporting AI-driven workflows and operational processes in Global Delivery.
Design, build, and operate scalable, production-grade data pipelines integrating multiple data sources for analytics, automation, and AI.
Act as Data Steward ensuring data quality, governance, auditability, controls, and alignment with business needs across simplification initiatives.
5+ years hands-on experience in data engineering, preferably in platform, infrastructure, or large enterprise environments.
Strong SQL and working knowledge of Python or similar for data processing and automation.
Experience with data lifecycle management, data quality, metadata, ETL/ELT, APIs, data warehouses/lakes, and workflow orchestration.
Degree in Computer Science, Engineering, or equivalent practical experience; experience in regulated financial services domain preferred.
Experienced in operational domains like fund accounting, middle office, custody, payments, or transfer agency.
Demonstrated capability to operate at the intersection of data engineering, AI enablement, and business simplification with end-to-end ownership.
Skilled at collaborating with cross-functional teams including Product Owners, AI engineers, and platform teams to deliver AI-driven solutions with rigorous data governance.