Role: Senior GCP Data Engineer L4
Employment Type: Permanent
Experience: 8 – 12 Years
Location: Pan India
Notice Period: Immediate Joiner

Job Summary

We are looking for a Senior GCP Data Engineer with 8–12 years of experience in designing and implementing end-to-end data engineering solutions on Google Cloud Platform (GCP). The candidate should have expertise in BigQuery, Dataflow, Dataproc, Apache Beam, PySpark, Python, and cloud-native data architectures.

Key Responsibilities

- Design and implement end-to-end data engineering solutions on GCP.
- Build scalable data pipelines using Apache Beam, Dataflow, Apache Spark, and Dataproc.
- Develop ETL/ELT processes and cloud-based data integration frameworks.
- Implement automated data ingestion, transformation, validation, and enrichment pipelines.
- Develop solutions using BigQuery, Pub/Sub, Cloud Functions, Cloud Storage, Bigtable, Cloud SQL, Spanner, and Datastore.
- Ensure data quality, governance, and security.




- Design scalable cloud-native architectures.
- Optimize pipeline performance and cost efficiency.
- Support production deployments and troubleshooting.

Mandatory Skills

- Google Cloud Platform (GCP)
- BigQuery
- Python
- SQL
- Java
- PySpark
- Apache Spark
- Apache Beam
- Google Dataflow
- Dataproc
- Cloud Composer
- Cloud Functions
- Pub/Sub
- ETL/ELT Development
- Data Warehousing
- Hadoop Ecosystem
- Relational & NoSQL Databases
- Data Migration
- Data Governance

Preferred Skills

- Google Cloud Professional Data Engineer Certification
- Google Cloud Professional Cloud Architect Certification
- Machine Learning on GCP
- Multi-Cloud Experience

Additional Expectations

- Good communication skills
- Robust career stability and consistent employment history

📌 Senior GCP Data Engineer (Telangana)
🏢 Experis
📍 Telangana