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.

~ 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 / PySpark .

~ Solid understanding of data modelling and large-scale datasets.

~ Experience with incremental and idempot

📌 Data Engineer Gurugram
🏢 Questhiring
📍 Gurugram