Data Engineer Platform and Tools – Google Cloud Platform (GCP)

We are looking for a Data Engineer with hands-on experience in Google Cloud Platform (GCP) to design, build, and maintain scalable data pipelines and data warehouse solutions. The ideal candidate should have expertise in ETL/ELT development, cloud-native data processing, and workflow orchestration, while ensuring data quality, performance, and reliability.

Key Responsibilities

• Design and develop batch and streaming data pipelines on GCP.
• Build and optimize ETL/ELT workflows using BigQuery, Dataflow, and Cloud Storage.
• Develop and maintain data orchestration workflows using Cloud Composer (Airflow).
• Optimize SQL queries and BigQuery performance.
• Monitor, troubleshoot, and support production data pipelines.
• Collaborate with cross-functional teams to deliver scalable data solutions.

Required Skills

• Cloud: Google Cloud Platform (GCP)
• GCP Services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer (Airflow)
• Programming: Python, SQL, Shell Scripting
• Data Engineering: ETL/ELT, Data Warehousing, Data Modeling
• Version Control & CI/CD: Git, Cloud Build/Jenkins
• Monitoring: Cloud Logging, Cloud Monitoring
• Terraform, Docker
• Kubernetes
• Oracle Cloud optional
• Optional - OIC, ODT, golden gate, AIDP