GCP Senior Data Engineer Grade
Querentia
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 Responsibilities-
Build and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions.
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Architect and manage BigQuery, Cloud Storage, and Data Fusion for efficient data ingestion, transformation, and storage.
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Lead a team of 10 engineers , review code, establish data engineering standards, and drive CI/CD and monitoring practices.
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Optimize pipeline performance, query efficiency, and GCP cost management , including slot reservations and partitioning.
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Work with data architects, data scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases.
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Implement data validation, lineage, and metadata management using tools such as Data Catalog and dbt.
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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.
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Proficiency in SQL, Python, Java/Scala , and distributed systems including Spark and Beam .
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Hands-on experience with GCP , including BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform.
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Familiarity with CI/CD, Git, and infrastructure-as-code .
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Experience with data engineering standards, code reviews, monitoring, and production data platforms.
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GCP certifications , such as Professional Data Engineer.
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Experience with real-time processing, Vertex AI, or multi-cloud environments .
$20.91 - $45.04 per hour
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