Sr Data Engineer
UKG (company site, opens in a new tab)5+ yrsBengaluruHybridDirect career pageEst. 20–35 LPA
Posted on 20 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable, production-grade data pipelines and layered data platforms on GCP using BigQuery and medallion architecture.
- Partner closely with business and finance stakeholders to frame data problems, deliver trusted data products, and support adoption across reporting and analytics.
- Leverage generative AI and agentic tools to automate and improve data engineering delivery, including AI-native data solutions and lifecycle automation.
Minimum Requirements
- 5+ years of experience in data engineering, data warehousing, ETL, or ELT.
- Hands-on experience with Google Cloud Platform (GCP) and BigQuery, strong SQL and Python skills for data engineering.
- Strong understanding of modern data warehouse architecture, data integration, dimensional modeling, and production pipeline best practices including monitoring and error handling.
- Experience working in Agile teams; work experience required: 5+ years; notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with implementing layered data platform patterns (e.g., medallion architecture) and developing semantic data models or analytical datasets.
- Skilled in finance domain data (accounting, ledger, reconciliation) and able to translate finance business problems into scalable data solutions.
- Practitioner of AI/ML tooling for data engineering automation, including prompt engineering, agent orchestration, and AI-enabled data products.