Location: Canada (Remote) Role Overview
We are seeking a GCP Senior Data Engineer Grade with strong data engineering leadership experience to lead data engineering teams and deliver scalable data platforms and pipelines on Google Cloud Platform.
Key ResponsibilitiesBuild and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions.
Architect and manage BigQuery, Cloud Storage, and Data Fusion for efficient data ingestion, transformation, and storage.
Lead a team of 10 engineers , review code, establish data engineering standards, and drive CI/CD and monitoring practices.
Optimize pipeline performance, query efficiency, and GCP cost management , including slot reservations and partitioning.
Work with data architects, data scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases.
Implement data validation, lineage, and metadata management using tools such as Data Catalog and dbt.
Experience leading data engineering teams onshore and offshore . This is a lead position, not a senior data engineer position; candidates without leadership experience will not be considered.
Proficiency in SQL, Python, Java/Scala , and distributed systems including Spark and Beam .
Hands-on experience with GCP , including BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform.
Familiarity with CI/CD, Git, and infrastructure-as-code .
Experience with data engineering standards, code reviews, monitoring, and production data platforms.
GCP certifications , such as Professional Data Engineer.
Experience with real-time processing, Vertex AI, or multi-cloud environments .
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