Data Engineer-II
Summary
Hands-on Data Engineer II building and maintaining scalable data pipelines on GCP, working with BigQuery, SQL, Python, Dataform/dbt, Cloud Composer/Airflow, and Dataflow/Apache Beam in a hybrid role based in Gurgaon.
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.
- 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.
- Strong production troubleshooting and problem-solving skills.
Technical Skills
Cloud: GCP, BigQuery, Google Cloud Storage
Programming: Python, SQL
Data Processing: Dataflow, Apache Beam, Dataproc, Spark/PySpark
Orchestration: Cloud Composer, Apache Airflow
Transformation: Dataform, dbt
Engineering: Git, CI/CD, Automated Testing, Monitoring
Data Engineering: ETL/ELT, Batch Processing, Data Modelling, Data Quality, Data Contracts, Metadata & Lineage
Good to Have
- Apache 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 For
A strong ownership mindset, good analytical and debugging skills, ability to independently design solutions, and the confidence to take data engineering solutions through production.