Data Engineer - Google Cloud Platform
First seen by Alion on Aug 12, 2026.
GCP Data Engineer 5+ Years
Location: Bangalore / Pune / Hyderabad / Bhubaneswar / Chennai / Coimbatore
Experience: 5+ Years
Work Mode: Hybrid
Notice Period: Immediate Joiners to 30 Days preferred
About the Role:
We are looking for experienced GCP Data Engineers to build and maintain scalable data pipelines, data processing solutions and cloud data platforms. The ideal candidate should have strong hands-on experience with Python, SQL, BigQuery and Spark/PySpark/Apache Beam.
Key Responsibilities:
- Design and develop scalable data pipelines on Google Cloud Platform.
- Build data ingestion and ETL/ELT solutions using Python and SQL.
- Work with large datasets and develop pipelines from source systems to data warehouses, databases and data lakes.
- Design and optimize solutions using Google BigQuery.
- Develop data processing solutions using Apache Spark, PySpark or Apache Beam.
- Work with GCP services such as Dataflow, Dataproc, Cloud SQL, GCS and Pub/Sub.
- Develop and maintain data integration and ETL processes.
- Troubleshoot data pipeline and production issues.
- Work with technical teams and business stakeholders to understand requirements.
- Ensure scalability, performance, reliability and data quality.
Must-Have Skills:
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with Python and SQL.
- Experience with Apache Spark / PySpark / Apache Beam.
- Strong experience with Google BigQuery.
- Experience with at least one of:
1. MySQL
2. PostgreSQL
3. SQL Server
Good to Have:
- Dataflow / Dataproc.
- Cloud SQL.
- Cloud Composer / Workflows.
- Google Cloud Storage (GCS).
- Pub/Sub.
- Data Catalog.
- Experience with cloud data lakes and data warehousing.
- CI/CD and DevOps experience.
Education :
B.E / B.Tech or equivalent qualification.
What We're Looking For :
Strong technical and analytical skills, good communication and the ability to work with cross-functional teams in a client-facing environment. Hybrid working model with occasional travel to client locations.
Skills
Data Engineering, Google Cloud Platform, ETL, BigQuery, Python, SQL