Remote: Hybrid

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 solid 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 BigQuery, 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 BigQuery 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, DevOps, Architecture, and business teams. Must-Have Skills 4+ years of hands-on Data Engineering experience. Strong hands-on experience with GCP and BigQuery . 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 / PySpark . 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, BigQuery, Google Cloud Storage Programming: Python, SQL Data Processing: Dataflow, Apache Beam, Dataproc, Spark/PySpark 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 Good 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.

📌 Data Engineer-II (Gurugram)
🏢 Questhiring
📍 Gurugram