Google Cloud Platform Data Engineer

Google Cloud Platform Data Engineer

Remote
• Migrate the historical data from Teradata data warehouse to Google Cloud Platform Big Query using Big Query Transfer Service
• Design and implement data pipelines using Google Cloud Platform services such as Dataflow, Dataproc, and Pub/Sub
• Develop and maintain data ingestion and transformation processes using tools like Apache Beam and Apache Spark
• Create and manage data storage solutions using Google Cloud Platform services such as BigQuery, Cloud Storage, and Cloud SQL
• Monitor and troubleshoot data pipelines and storage solutions using Google Cloud Operations and Cloud Monitoring
• Collaborate with Business stakeholders and analysts to understand their data requirements and provide solutions to meet their needs
• Automate data processing tasks using Python
• Participate in code reviews and contribute to the development of best practices for data engineering on Google Cloud Platform
• Stay up-to-date with the latest Google Cloud... Platform services and features and evaluate their potential use in the organization's data infrastructure.

Skills: Google Cloud Platform - Professional Data Engineer, Google BigQuery, Hadoop Big Data Stack, UNIX Shell Scripting, Agile Methodology

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