Google Cloud Platform Data Engineer with Google Cloud Platform Certification

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Google Cloud Platform Data Engineer

Location: Dallas, TX

Required Skills:

1. Migrate the historical data from Teradata data warehouse to Google Cloud Platform Big Query using Big Query Transfer Service
2. Design and implement data pipelines using Google Cloud Platform services such as Dataflow, Dataproc, and Pub/Sub
3. Develop and maintain data ingestion and transformation processes using tools like Apache Beam and Apache Spark
4. Create and manage data storage solutions using Google Cloud Platform services such as BigQuery, Cloud Storage, and Cloud SQL
5. Monitor and troubleshoot data pipelines and storage solutions using Google Cloud Operations and Cloud Monitoring
6. Collaborate with Business stakeholders and analysts to understand their data requirements and provide solutions to meet their needs
7. Automate data processing tasks using Python
8. Participate in code reviews and contribute to the development of best practices for data engineering on Google Cloud Platform
9. 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

Google Cloud Platform Data Engineer with Google Cloud Platform Certification