Job Description
About the job
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nSenior Data Engineer - GCP Data Platform
nLocation: Gurgaon
nWork Mode: Hybrid
nExperience: 6+ Years
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nAbout the Role
nWe are looking for a hands-on Data Engineer II with robust GCP experience to build scalable data pipelines, transformations, and reusable data-platform capabilities.
nThe role involves taking solutions end-to-end—from design and development to testing, deployment, and production support—while building reliable and reusable data engineering solutions.
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nKey Responsibilities
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- Design, develop, and maintain production-grade data pipelines on GCP.n
- Build scalable batch and incremental processing solutions.n
- Develop complex transformations using BigQuery, SQL, and Dataform/dbt.n
- Build and maintain workflows using Cloud Composer / Apache Airflow.n
- Develop reusable transformation components, frameworks, and orchestration patterns.n
- Build distributed data-processing solutions using Dataflow / Apache Beam and/or Dataproc / Spark.n




- Design data models for analytical and downstream data products.n
- Implement data-quality checks, validation, reconciliation, and data lineage.n
- Optimize pipelines and BigQuery workloads for performance and cloud cost.n
- Implement automated testing and integrate data workloads with CI/CD.n
- Monitor production pipelines and troubleshoot issues through root-cause analysis.n
- Collaborate with Data Engineering, Platform Engineering, DevOps, Architecture, and business teams.n

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nMust-Have Skills
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- 6+ years of hands-on Data Engineering experience.n
- Strong hands-on experience with GCP and BigQuery.n
- Advanced SQL – complex joins, CTEs, window functions, and query optimization.n
- Strong Python development skills.n
- Experience with production ETL/ELT pipelines.n
- Hands-on experience with Cloud Composer / Apache Airflow.n
- Experience with Dataform and/or dbt.n
- Experience with Dataflow / Apache Beam or Dataproc / Spark / PySpark.

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