05 Sep
|
Berribot
|
Bengaluru
05 Sep
Berribot
Bengaluru
Job Description
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.
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 security and governance via Cloud IAM,
and build reusable data validation and reconciliation frameworks.
n
- Tune Spark and BigQuery workloads 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
n
Mandatory 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
n
Good 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
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