Engineer Lead, Data
FIS (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–32 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable backend data pipelines and platforms to support AI governance and analytics initiatives.
- Establish and maintain end-to-end data lineage, data quality controls, and metadata management for trusted and governed datasets.
- Collaborate with business, technology, and governance teams to define data ownership, stewardship, access controls, and automate data reliability improvements.
Minimum Requirements
- Experience as Data Engineer or similar role supporting large-scale data environments.
- Strong skills in backend data pipeline development, data integration, transformation, and consolidation.
- Solid understanding of data governance, data quality, metadata management, data lineage, and proficiency with SQL and enterprise data modeling.
- Experience with cloud-based data platforms, data warehouses, data lake architectures, and knowledge of data security and access management.
Ideal Candidate Profile
- Proven ability to manage complex data ecosystems ensuring data traceability, quality, and governance compliance.
- Experience working in regulated industries such as financial services, fintech, payments, or banking is preferred.
- Operational style focused on building scalable, automated systems for data reliability supporting AI and analytics projects.