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.
- 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 ide

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