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

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. Robust

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 (Mumbai)
🏢 Questhiring
📍 Mumbai