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.
Solid 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
.
Robust understanding of
data modelling
and large-scale datasets.
Experience with

📌 Senior Data Engineer Gurugram (India)
🏢 Questhiring
📍 India