PuneOn-siteDirect career pageEst. 20–35 LPA
Posted 14h 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 supporting AI governance and analytics.
- Establish end-to-end data lineage and consolidate data from multiple enterprise sources into trusted, governed datasets.
- Implement data quality controls, metadata management, and data access governance to ensure trusted, discoverable, and compliant data products.
Minimum Requirements
- Experience as Data Engineer, Data Platform Engineer, or similar in large-scale data environments.
- Proficiency in building backend data pipelines, data integration, transformation, and consolidation.
- Strong understanding of data governance, quality, metadata management, data lineage, and lifecycle management.
- Proficiency with SQL, data modeling, and experience with cloud data platforms and data lake architectures.
Ideal Candidate Profile
- Experienced in implementing data governance, quality monitoring, and data observability frameworks across enterprise environments.
- Familiarity or experience with AI, machine learning, or responsible AI governance programs.
- Background in financial services, fintech, payments, banking, or other highly regulated industries is a plus.