Job Description
Veeva is looking for a Cloud Data Engineer to architect and enhance data processing systems utilizing Python and Spark on AWS. This role focuses on creating innovation through comprehensive data management solutions.
As a Cloud Data Engineer, you'll develop end-to-end ETL/ELT workflows that unify data from modern and legacy sources. Your expertise will lead the implementation of the Medallion Architecture and ensure data governance and lifecycle management practices are followed. You will also collaborate extensively with Product Managers and Data Scientists to implement data-driven insights into business strategies.
Key Responsibilities:
• Architect data processing systems on AWS with Python and Spark
• Design and implement scalable ETL/ELT workflows
• Lead the Medallion Architecture implementation
• Ensure data governance and security compliance
• Proactively monitor system performance for efficiency
Requirements:
• 4+ years of data engineering experience
As a Cloud Data Engineer, you'll develop end-to-end ETL/ELT workflows that unify data from modern and legacy sources. Your expertise will lead the implementation of the Medallion Architecture and ensure data governance and lifecycle management practices are followed. You will also collaborate extensively with Product Managers and Data Scientists to implement data-driven insights into business strategies.
Key Responsibilities:
• Architect data processing systems on AWS with Python and Spark
• Design and implement scalable ETL/ELT workflows
• Lead the Medallion Architecture implementation
• Ensure data governance and security compliance
• Proactively monitor system performance for efficiency
Requirements:
• 4+ years of data engineering experience
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