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Google Cloud Platform Data Engineer

Salary undisclosed

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Google Cloud Platform Data Engineer

Remote

Required Skills:

* 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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