About The Role

Design, develop, and optimize ETL/ELT pipelines using GCP-native tools (Dataflow, Dataproc, Cloud Composer/Airflow)
Build and manage data warehousing solutions on BigQuery, including schema design, partitioning, and query optimization
Develop data ingestion frameworks from structured and unstructured sources (batch and streaming)
Implement data quality checks, monitoring, and alerting across pipelines
Collaborate with data architects to translate business requirements into technical designs
Work with Pub/Sub, Cloud Storage, and Cloud Functions to build event-driven data workflows
Support CI/CD practices for data pipeline deployments (Cloud Build, Terraform)
Ensure data security, access controls, and compliance with governance standards
Participate in code reviews, sprint planning, and technical documentation
Coordinate with onshore teams across time zones for delivery alignmen
Design, develop, and optimize ETL/ELT pipelines using GCP-native tools (Dataflow, Dataproc, Cloud Composer/Airflow)
Build and manage data warehousing solutions on BigQuery, including schema design, partitioning, and query optimization
Develop data ingestion frameworks from structured and unstructured sources (batch and streaming)
Implement data quality checks, monitoring, and alerting across pipelines
Collaborate with data architects to translate business requirements into technical designs
Work with Pub/Sub, Cloud Storage, and Cloud Functions to build event-driven data workflows
Support CI/CD practices for data pipeline deployments (Cloud Build, Terraform)
Ensure data security, access controls, and compliance with governance standards
Participate in code reviews, sprint planning, and technical documentation
Coordinate with onshore teams across time zones for delivery alignment