GCP Senior Data Engineer
Querentia
Role Name: GCP Senior Data Engineer
Work Site: Canada Remote
Start Date: Immediate Availability
Role Summary
We are seeking a GCP Senior Data Engineer with strong expertise in cloud data engineering, distributed processing, and GCP data services. The role will focus on building and optimizing scalable ETL/ELT pipelines, managing data infrastructure, and supporting advanced analytics and ML use cases.
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 data ingestion, transformation, and storage.
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Implement data validation, lineage, and metadata management using tools such as Data Catalog and dbt .
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Optimize pipeline performance, query efficiency, and GCP costs , including partitioning and slot reservations.
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Establish and maintain CI/CD, Git, infrastructure-as-code, monitoring, and data engineering standards .
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Mentor junior engineers and conduct code reviews.
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Collaborate with data architects, data scientists, and analysts to deliver self-service data platforms.
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Support advanced analytics and machine learning use cases.
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Implement monitoring and operational visibility using Cloud Monitoring and Cloud Logging .
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Strong SQL and Python skills.
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Proficiency in Java/Scala .
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Experience with distributed systems including Spark and Apache Beam .
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Hands-on experience with:
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BigQuery
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Dataflow
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Dataproc
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Pub/Sub
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Composer (Airflow)
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Terraform
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Experience with CI/CD, Git, and Infrastructure as Code .
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GCP certifications, such as Professional Data Engineer .
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Experience with real-time data processing .
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Experience with Vertex AI .
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Multi-cloud environment experience.
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