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

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 6+ 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 . Robust understanding of

data modelling

and large-scale datasets. Experience with incremental and id

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