Data Engineer II – GCP Data Platform

Location: Gurgaon

Work Mode: Hybrid

Experience: 4+ Years

About the Role

We are looking for a hands-on Data Engineer II with strong GCP experience to build scalable data pipelines, transformations, and reusable data-platform capabilities.

The 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.

Key Responsibilities Design, develop, and maintain production-grade data pipelines on GCP . Build scalable batch and incremental processing solutions. Develop complex transformations using Big Query, SQL, and Dataform/dbt . Build and maintain workflows using Cloud Composer / Apache Airflow . Develop reusable transformation components, frameworks, and orchestration patterns. Build distributed data-processing solutions using Dataflow / Apache Beam and/or Dataproc / Spark . Design data models for analytical and downstream data products. Implement data-quality checks, validation, reconciliation, and data lineage.



Optimize pipelines and Big Query workloads for performance and cloud cost . Implement automated testing and integrate data workloads with CI/CD . Monitor production pipelines and troubleshoot issues through root-cause analysis. Collaborate with Data Engineering, Platform Engineering, Dev Ops, Architecture, and business teams.

Must-Have Skills 4+ years of hands-on Data Engineering experience. Strong hands-on experience with GCP and Big Query . Advanced SQL – complex joins, CTEs, window functions, and query optimization. Solid Python development skills. Experience with production ETL/ELT pipelines. Hands-on experience with Cloud Composer / Apache Airflow . Experience with Dataform and/or dbt . Experience with Dataflow / Apache Beam or Dataproc / Spark / Py Spark . Strong understanding of data modelling and large-scale datasets. Experience with incremental and idempotent processing. Understanding of da

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