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Google Cloud Platform Data Engineer

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Jobs via Dice
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
Pleasanton, CA
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Role: Google Cloud Platform Data Engineer

Location: Pleasanton, CA Onsite

EXP: 8 years

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Google Cloud Platform services.
  • Build and optimize data warehouses and data marts using BigQuery.
  • Develop and manage workflows and orchestration pipelines using Apache Airflow (Cloud Composer).
  • Work with AlloyDB and relational databases to support transactional and analytical workloads.
  • Create data transformation models using DBT (Data Build Tool).
  • Write complex and optimized SQL queries for data extraction, transformation, and reporting.
  • Automate infrastructure provisioning and deployment using Terraform (Infrastructure as Code).
  • Implement data quality, monitoring, logging, and performance optimization processes.
  • Design and maintain secure cloud infrastructure following Google Cloud Platform best practices.
  • Collaborate with cross-functional teams to gather requirements and deliver scalable data solutions.
  • Troubleshoot and resolve data pipeline, database, and infrastructure issues.
  • Ensure compliance with security, governance, and data management standards.
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