About the job Senior Data Engineer - GCP Data Platform Location: Gurgaon Work Mode: Hybrid Experience: 6+ 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 Skills6+ 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.

Strong

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 data contracts, schema evolution, data quality, and reconciliation.

Experience with Git, automated testing, and CI/CD. Strong production troubleshooting and problem-solving skills.

Technical Skills Cloud: GCP, Big Query, Google Cloud Storage Programming: Python, SQLData Processing: Dataflow, Apache Beam, Dataproc, Spark/Py Spark Orchestration: Cloud Composer, Apache Airflow Transformation: Dataform, dbt Engineering: Git, CI/CD, Automated Testing, Monitoring Data Engineering: ETL/ELT, Batch Processing, Data Modelling, Data Quality, Data Contracts, Metadata & Lineage Valuable to Have Apache Iceberg or modern lakehouse technologies. Streaming or event-driven processing. Data Product / Data Mesh concepts.

Metadata-driven or configuration-driven processing.

Change Data

Capture (CDC). Terraform / Infrastructure as Code.

Experience building reusable components for multiple engineering teams. What We’re Looking For A strong ownership mindset, good analytical and debugging skills, ability to independently design solutions, and the confidence to take data engineering solutions through production.

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