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 robust

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 .
Strong understanding of

data modelling

and large-scale datasets.
Experience with incremental and id

📌 Senior Data Engineer (Mumbai)
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