GCP Data Engineer

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 alignment.

Qualifications

• GCP Professional Data Engineer certification (Good to have)
• Experience with dbt for transformation workflows (Good to have)
• Exposure to Looker or other BI/visualization tools (Good to have)
• Prior experience in a client-facing offshore delivery model (Good to have)
• Familiarity with Kafka or other streaming platforms (Good to have)