Posted 22 August, 2026
GCP Data Engineering - Chennai, Bangalore, Hyderabad
Diverse Lynx
Telangana
Full Time
Reference: 365_569689_26-03513
Hiring for GCP Data Engineering - Chennai, Bangalore, Hyderabad
Data Engineer (GCP Data Migration) is responsible for designing, developing, and executing large-scale data migration and modernization initiatives on the Google Cloud Platform (GCP). The role focuses on migrating data from legacy databases, on-premises systems, and other cloud platforms to GCP services such as BigQuery, Cloud Storage, Dataproc, Dataflow, Dataplex, and Cloud SQL. The Data Engineer ensures secure, scalable, high-performance data pipelines while maintaining data quality, governance, and compliance standards.
The role collaborates closely with Solution Architects, Application Teams, Business Stakeholders, Data Analysts, and Cloud Engineers to enable successful cloud transformation programs.
Key Responsibilities:
Data Migration & Modernization:
• Assess existing data platforms and define migration strategies to GCP.
• Design and execute large-scale database and data warehouse migrations.
• Develop source-to-target mappings, transformation rules, and migration plans.
• Migrate structured, semi-structured, and unstructured data to GCP platforms.
• Perform data validation, reconciliation, and quality assurance activities.
• Support migration cutover planning, rollback procedures, and production deployments.
Data Engineering & Pipeline Development:
• Build scalable ETL/ELT pipelines using GCP-native services.
• Design batch and real-time data processing solutions.
• Develop automated ingestion frameworks from multiple source systems.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Implement reusable migration and transformation frameworks.
• GCP Data Platform Implementation
Build and manage solutions using:
• BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Pub/Sub
• Cloud Composer
• Dataplex
• Cloud SQL
• AlloyDB
• BigLake
• Support enterprise data lake, lakehouse, and warehouse implementations.
• Configure monitoring, logging, and performance optimization mechanisms.
Data Engineer (GCP Data Migration) is responsible for designing, developing, and executing large-scale data migration and modernization initiatives on the Google Cloud Platform (GCP). The role focuses on migrating data from legacy databases, on-premises systems, and other cloud platforms to GCP services such as BigQuery, Cloud Storage, Dataproc, Dataflow, Dataplex, and Cloud SQL. The Data Engineer ensures secure, scalable, high-performance data pipelines while maintaining data quality, governance, and compliance standards.
The role collaborates closely with Solution Architects, Application Teams, Business Stakeholders, Data Analysts, and Cloud Engineers to enable successful cloud transformation programs.
Key Responsibilities:
Data Migration & Modernization:
• Assess existing data platforms and define migration strategies to GCP.
• Design and execute large-scale database and data warehouse migrations.
• Develop source-to-target mappings, transformation rules, and migration plans.
• Migrate structured, semi-structured, and unstructured data to GCP platforms.
• Perform data validation, reconciliation, and quality assurance activities.
• Support migration cutover planning, rollback procedures, and production deployments.
Data Engineering & Pipeline Development:
• Build scalable ETL/ELT pipelines using GCP-native services.
• Design batch and real-time data processing solutions.
• Develop automated ingestion frameworks from multiple source systems.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Implement reusable migration and transformation frameworks.
• GCP Data Platform Implementation
Build and manage solutions using:
• BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Pub/Sub
• Cloud Composer
• Dataplex
• Cloud SQL
• AlloyDB
• BigLake
• Support enterprise data lake, lakehouse, and warehouse implementations.
• Configure monitoring, logging, and performance optimization mechanisms.
