We are looking for a hands-on Data Engineer to join our growing team. You should be a GCP-native engineer, deeply proficient in the Google Cloud tooling stack, owning the design, build, and optimisation of data pipelines that bring data from a range of source systems into GCP to feed critical AI and analytics workflows. This is a deeply technical role. You will be expected to get hands-on from day one.
What You Will Do
- Design and implement scalable data ingestion pipelines from a variety of systems including on-premise, Azure Databricks and c3.ai
- Build and maintain Bronze-to-Silver transformation pipelines following the Medallion architecture, using a config-driven approach
- Optimise BigQuery data organisation through effective partitioning, clustering, and schema design for large-scale, high-performance querying
- Implement and maintain workload identity federation and APIM integrations for secure cross-platform data movement
- Collaborate with Data Governance teams to embed data quality checks within various layer transformations, targeting defined quality thresholds
- Contribute to pipeline design reviews and actively participate in medallion architecture planning sessions with platform and architecture teams
- Document data flows, transformation rules,
and design decisions to support knowledge transfer and team continuity
Must-have skills
- Hands-on data engineering experience
- Strong GCP expertise: BigQuery (partitioning, clustering, optimisation), GCS, Dataflow or equivalent
- Proven experience designing and building ETL/ELT pipelines at scale
- Experience with Medallion architecture (Bronze / Silver / Gold layers)
- Data integration experience across heterogeneous sources on-premise databases, APIs, cloud platforms
- Proficiency in Python and/or SQL for pipeline development
- Experience with config-driven pipeline design and parameterised frameworks Solid advantage
- Experience with cross-cloud data movement (eg Azure GCP)
- Familiarity with APIM, workload identity federation, or service account impersonation patterns
How You Will Work
- Embedded with the client's platform and architecture team in an agile delivery model
- Close collaboration with Data Governance, EA, and AI platform teams
- Expected to operate independently on technical tasks while contributing to broader design discussions
- Resource substitutions are permitted but subject to prior review and approval by the client team
📌 Data Engineer (Gurugram)
🏢 Talent Monitor Bangalore
📍 Gurugram
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