We're Hiring | GCP Data Engineer | Pan India | TS /n We are looking for experienced GCP Data Engineers to join our growing team. The ideal candidate should have strong hands-on experience in BigQuery-based data warehousing, Dataproc/Spark processing, and orchestrated, cost-efficient pipelines to deliver scalable analytics and AI-ready data products for BFSI clients. /n Location /n Pan India /n Experience /n 6–10 Years (role-dependent), including 3+ years hands-on GCP /n Employment Type /n Full time /n Key Responsibilities /n /n

- Strong experience and understanding of Data Warehouse and Data Lake platform architecture and design.

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- Design and develop scalable batch and streaming pipelines on GCP using Dataflow, Dataproc (Spark), Pub/Sub, and Cloud Functions.

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- Build and optimise cloud data warehouse solutions on BigQuery, including partitioning, clustering, and query cost optimisation.

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- Migrate and modernise legacy workloads (Hadoop, Teradata, on-prem ETL) to GCP using Dataproc, BigQuery, and Data Fusion.

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- Develop ELT/ETL workflows with Python, Java, Scala, and PySpark; orchestrate pipelines using Cloud Composer (Airflow).

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- Implement data security and governance via Cloud IAM, and build reusable data validation and reconciliation frameworks.





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- Tune Spark and BigQuery workloads for performance and cost, achieving measurable runtime and storage improvements.

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- Set up CI/CD and automation for GCP data assets using Git-based pipelines and infrastructure-as-code.

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- Collaborate with architects and client teams on solutioning, PoCs, demos, and production cutover.

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- Google Cloud Platform (BigQuery, Dataproc, Dataflow)

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- Pub/Sub, Cloud Functions, Data Fusion, Data Transfer

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- PySpark/Spark, Python, SQL (Java/Scala a plus)

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- Cloud Composer (Airflow) orchestration

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- Data warehouse & pipeline design + performance tuning

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- Cloud IAM — data security & access governance

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- Legacy migration (Hadoop/Teradata/on-prem ETL)

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- GCP Kubernetes Engine (GKE), Cloud Storage

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- CI/CD, Git, infrastructure-as-code (Terraform)

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- Data validation/DVT frameworks & automation

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- BI & analytics — Looker, Power BI, Tableau

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- Exposure to Vertex AI/GenAI on GCP

/n /n Your Next Career Opportunity Awaits! /n Apply now and get a faster recruitment process. /n Click here to apply

📌 GCP Data Engineer (Bengaluru)
🏢 Berribot
📍 Bengaluru