Job DescriptionWe're Hiring | GCP Data Engineer | Pan India | TS

NWe 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.

NLocation

nPan India

NExperience

n6–10 Years (role-dependent), including 3+ years hands-on GCP

NEmployment Type

nFull-time

NKey Responsibilities

n

N
- Strong experience and understanding of Data Warehouse and Data Lake platform architecture and design.
N
- Design and develop scalable batch and streaming pipelines on GCP using Dataflow, Dataproc (Spark), Pub/Sub, and Cloud Functions.
N
- Build and optimise cloud data warehouse solutions on BigQuery, including partitioning, clustering, and query cost optimisation.
N
- Migrate and modernise legacy workloads (Hadoop, Teradata, on-prem ETL) to GCP using Dataproc, BigQuery, and Data Fusion.
N
- Develop ELT/ETL workflows with Python, Java, Scala, and PySpark;

orchestrate pipelines using Cloud Composer (Airflow).

N
- Implement data securityand governance via Cloud IAM,



and build reusable data validation and reconciliation frameworks.
N
- Tune Spark and BigQueryworkloads for performance and cost, achieving measurable runtime and storage improvements.
N
- Set up CI/CD and automation for GCP data assets using Git-based pipelines and infrastructure-as-code.
N
- Collaborate with architects and client teams on solutioning, PoCs, demos, and production cutover.
N

nMandatory Skills

N

n
- Google Cloud Platform (BigQuery, Dataproc, Dataflow)
N
- Pub/Sub, Cloud Functions, Data Fusion, Data Transfer
N
- PySpark/Spark, Python, SQL (Java/Scala a plus)
N
- Cloud Composer (Airflow) orchestration
N
- Data warehouse & pipeline design + performance tuning
N
- Cloud IAM — data security & access governance
N

nGood to Have

n

N
- Legacy migration (Hadoop/Teradata/on-prem ETL)
N
- GCP Kubernetes Engine (GKE), Cloud Storage
N
- CI/CD, Git, infrastructure-as-code (Terraform)
N
- Data validation/DVT frameworks & automation
N
- BI & analytics — Looker, Power BI, Tableau
N
- Exposure to Vertex AI/GenAI on GCP
N

nYour Next Career Chance Awaits!

NApply now and get a faster recruitment process.

NClick here to apply

📌 Gcp Data Engineer (Bengaluru)
🏢 Berribot
📍 Bengaluru