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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

Data Engineer Platform and Tools Google Cloud Platform (GCP)