GCP Data Engineer - ETL, SQL, Python

Job Description: Role: GCP Data Engineer - ETL, SQL, Python

Kitchener - Hybrid: 2 days a week in office

Primary Skills

• ETL
• SQL
• Big Data
• Python

• Designed and built scalable, secure, and high performance data pipelines on Google Cloud Platform (GCP).
• Developed and optimized ETL/ELT workflows using Cloud Composer, Dataflow, Dataproc, and BigQuery.
• Implemented data ingestion frameworks for batch and streaming data using Pub/Sub, Kafka, and Dataflow.
• Modeled, partitioned, and optimized BigQuery datasets to support analytics use cases.
• Collaborated with data scientists, architects, and business teams to deliver end-to-end data solutions.
• Ensured data quality, reliability, and robustness through monitoring, validation, and automation processes.
• Implemented CI/CD pipelines for data workflows using Cloud Build, Git, and Terraform.
• Optimized cost, performance, and scalability across GCP data services.
• Applied security best practices, IAM policies, and compliance standards across data platforms.