Data Engineer II – GCP Data PlatformLocation:

GurgaonWork Mode:

HybridExperience:

4+ Years

About the RoleWe 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 ResponsibilitiesDesign, 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 Skills4+ 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 idempotent processing.Understanding of data contracts, schema evolution, data quality, and reconciliation.Experience with

Git, automated testing, and CI/CD .Solid production troubleshooting and problem-solving skills.

Technical SkillsCloud:

GCP, BigQuery, Google Cloud StorageProgramming:

Python, SQLData Processing:

Dataflow, Apache Beam, Dataproc, Spark/PySparkOrchestration:

Cloud Composer, Apache AirflowTransformation:

Dataform, dbtEngineering:

Git, CI/CD, Automated Testing, MonitoringData Engineering:

ETL/ELT, Batch Processing, Data Modelling, Data Quality, Data Contracts, Metadata & Lineage

Good to HaveApache 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 ForA 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