Shape the future of data management as a Principal Data Engineer, focusing on self-hosted stacks and performance optimization. This role demands proactive problem-solving and innovative architecture solutions.
Ideal candidates bring over five years of experience in data engineering with a strong emphasis on self-hosted, on-premise systems. You will manage technical architecture, establish coding standards, and ensure your team adheres to both data privacy and security regulations. By partnering with data professionals, you’ll effectively transform complex business requirements into robust data systems.
Key Responsibilities: • Optimize and manage self-hosted database solutions • Create and maintain ETL/ELT data pipelines • Oversee project delivery with architectural standards • Establish best practices for engineering and code reviews • Ensure compliance with data governance policies
Requirements: • 5+ years of experience in data engineering or related fields • Experience with PostgreSQL and MongoDB for data management • Deep SQL knowledge and comfort in Linux/Unix environments • Familiar with tools like Dagster or Airflow for orchestration • Strong ability to communicate technical concepts clearly
Drive impactful changes in data architecture as a Principal Data Engineer. #J-18808-Ljbffr
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Ideal candidates bring over five years of experience in data engineering with a strong emphasis on self-hosted, on-premise systems. You will manage technical architecture, establish coding standards, and ensure your team adheres to both data privacy and security regulations. By partnering with data professionals, you’ll effectively transform complex business requirements into robust data systems.
Key Responsibilities: • Optimize and manage self-hosted database solutions • Create and maintain ETL/ELT data pipelines • Oversee project delivery with architectural standards • Establish best practices for engineering and code reviews • Ensure compliance with data governance policies
Requirements: • 5+ years of experience in data engineering or related fields • Experience with PostgreSQL and MongoDB for data management • Deep SQL knowledge and comfort in Linux/Unix environments • Familiar with tools like Dagster or Airflow for orchestration • Strong ability to communicate technical concepts clearly
Drive impactful changes in data architecture as a Principal Data Engineer. #J-18808-Ljbffr
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