Role Name: GCP Senior Data Engineer Grade Work site: Canada (Remote) Required Skills: Technical Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with Big

Query, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform.

Dev

Op: Familiarity with CI/CD, Git, and infrastructure-as-code.

Nice to Have: GCP Certifications (, Professional Data Engineer).

Experience with real-time processing, Vertex AI, or multi-cloud environments.

Key Responsibilities: Pipeline Development: Build and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions.

Data Infrastructure: Architect and manage Big

Query, Cloud Storage, and Data Fusion for productive data ingestion, transformation, and storage.





Team Leadership: Mentor junior engineers, review code, and establish data engineering standards, CI/CD, and monitoring (, Cloud Monitoring, Logging).

Performance & Cost: Optimize pipeline performance, query efficiency, and GCP cost management (, slot reservations, partitioning).

Collaboration: Work with data architects, scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases.

Data Quality & Governance: Implement data validation, lineage, and metadata management (, Data Catalog, dbt).

📌 GCP Senior Data Engineer Grade (Mississauga)
🏢 eTeam
📍 Mississauga