Job Summary
• Minimum 1 year of experience in Data Engineering with strong knowledge of Google Cloud Platform (GCP) architecture and services.
• Hands-on experience in ETL/ELT development for batch and real-time data processing.
• Experience with BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, and GCS.
• Experience with Google Cloud Monitoring and Cloud Logging.
• Strong proficiency in Python and SQL.
• Hands-on experience with dbt for data transformation and modelling.
• Experience with GKE, Kubernetes namespaces, and Docker container deployment.
• Experience with Git-based source control, code reviews, version management, and CI/CD pipelines.
• Experience with Terraform for Infrastructure as Code and Harness or similar deployment tools.
• Strong troubleshooting, debugging, and production-support skills.
Key Responsibilities
• Minimum 1 year of experience in Data Engineering with strong knowledge of Google Cloud Platform (GCP) architecture and services.
• Hands-on experience in ETL/ELT development for batch and real-time data processing.
• Experience with BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, and GCS.
• Experience with Google Cloud Monitoring and Cloud Logging.
• Strong proficiency in Python and SQL.
• Hands-on experience with dbt for data transformation and modelling.
• Experience with GKE, Kubernetes namespaces, and Docker container deployment.
• Experience with Git-based source control, code reviews, version management, and CI/CD pipelines.
• Experience with Terraform for Infrastructure as Code and Harness or similar deployment tools.
• Strong troubleshooting, debugging, and production-support skills.