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.

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, SQL

Data 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.

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