Job Description

About the job

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Senior Data Engineer - GCP Data Platform

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Location: Gurgaon

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Work Mode: Hybrid

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Experience: 6+ Years

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About the Role

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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.

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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.

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Key Responsibilities

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- Design, develop, and maintain production-grade data pipelines on GCP .
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- Build scalable batch and incremental processing solutions.
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- Develop complex transformations using BigQuery, SQL, and Dataform/dbt .
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- Build and maintain workflows using Cloud Composer / Apache Airflow .
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- Develop reusable transformation components, frameworks, and orchestration patterns.
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- Build distributed data-processing solutions using Dataflow / Apache Beam and/or Dataproc / Spark .
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- Design data models for analytical and downstream data products.
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- Implement data-quality checks, validation, reconciliation, and data lineage.
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- Optimize pipelines and BigQuery workloads for performance and cloud cost .
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- Implement automated testing and integrate data workloads with CI/CD .
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- Monitor production pipelines and troubleshoot issues through root-cause analysis.
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- Collaborate with Data Engineering, Platform Engineering, DevOps, Architecture, and business teams.
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Must-Have Skills

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- 6+ years of hands-on Data Engineering experience.
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- Strong hands-on experience with GCP and BigQuery .
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- Advanced SQL – complex joins,



CTEs, window functions, and query optimization.
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- Strong Python development skills.
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- Experience with production ETL/ELT pipelines.
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- Hands-on experience with Cloud Composer / Apache Airflow .
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- Experience with Dataform and/or dbt .
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- Experience with Dataflow / Apache Beam or Dataproc / Spark / PySpark .
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- Strong understanding of data modelling and large-scale datasets.
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- Experience with incremental and idempotent processing.
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- Understanding of data contracts, schema evolution, data quality, and reconciliation.
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- Experience with Git, automated testing, and CI/CD .
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- Strong production troubleshooting and problem-solving skills.
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Technical Skills

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Cloud: GCP, BigQuery, Google Cloud Storage

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Programming: Python, SQL

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Data Processing: Dataflow, Apache Beam, Dataproc, Spark/PySpark

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Orchestration: Cloud Composer, Apache Airflow

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Transformation: Dataform, dbt

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

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

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Good to Have

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- Apache Iceberg or up-to-date lakehouse technologies.
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- Streaming or event-driven processing.
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- Data Product / Data Mesh concepts.
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- Metadata-driven or configuration-driven processing.
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- Change Data Capture (CDC).
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- Terraform / Infrastructure as Code.
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- Experience building reusable components for multiple engineering teams.
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What We’re Looking For

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A strong ownership mindset, good analytical and debugging skills, ability to independently design solutions, and the confidence to take data engineering solutions through production.

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📌 Senior Data Engineer (Gurugram)
🏢 Questhiring
📍 Gurugram