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 Qualified Cloud Architect Certification
Machine Learning on GCP
Multi-Cloud Experience

Additional Expectations
Valuable communication skills
Robust career stability and consistent employment history

📌 Senior Gcp Data Engineer Telangana
🏢 Experis
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