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 Big Query.

Implemented data ingestion frameworks for batch and streaming data using Pub/Sub, Kafka, and Dataflow.

Modeled, partitioned, and optimized Big Query 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.