Google Cloud Platform Data Engineer

• Technical Skills: Python, PySpark, Databricks Workflows, Databricks SQL
• Google BigQuery & PySpark
• Build and maintain data & ingest pipelines from various technology sources across variety of scheduling needs.
• Design and implement data models for efficient consumption and storage
• Utilize data analysis tools and techniques (SQL, Python, data visualization libraries)
• Clean, prepare and transform data for analysis.
• Conduct statistical analysis and modeling, and monitors Production for efficiencies.
• Communicate insights and production trends to stakeholders.
• Ensure data quality, integrity and production reliability and report out on status.
• Works closely with infrastructure to manage, configure Kubernetes clusters, setting up CI/CD pipelines, and ensuring infrastructure
• scalability and performance. Design, Build, Test and deploy data access logic, and solution implementation.

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