- Design, develop, and optimize data pipelines using GCP services.
- Build and maintain ETL/ELT workflows to process large-scale structured and unstructured data.
- Develop data integration solutions using tools such as Cloud Dataflow, Cloud Composer, and Pub/Sub.
- Create and manage data warehouses using BigQuery.
- Implement real-time and batch data processing solutions.
- Ensure data quality, governance, security, and compliance standards.
- Monitor, troubleshoot, and optimize pipeline performance and cloud infrastructure.
- Collaborate with data analysts, data scientists, and business teams to understand data requirements.
- Implement CI/CD practices and automation for data engineering workflows.
- Support cloud migration and modernization initiatives.