Advance your career as a Senior Data Engineer at Morningstar, focusing on Snowflake and Python for comprehensive data management solutions. This hybrid role emphasizes innovative data pipeline development to drive analytics forward.
We are looking for a data engineering professional with at least five years of experience to design and support scalable infrastructures. Your expertise in Snowflake, along with hands-on experience in Python and Informatica, will be pivotal in crafting efficient data processing solutions and enhancing business intelligence capabilities. Collaborate in a hybrid environment contributing to data-driven insights.
Key Responsibilities:
• Design and maintain scalable data pipelines with Snowflake
• Implement advanced data management architectures effectively
• Develop data ingestion pipelines leveraging Python or Informatica
• Utilize AI capabilities within Snowflake to drive analytics
• Optimize existing data pipelines for performance and reliability
Requirements:
• 5+ years of experience in data engineering
• Strong Snowflake expertise with data modeling skills
• Proficient in Python for automation tasks
• Familiarity with ETL processes and SQL
• Basic knowledge of CI/CD deployment workflows
Harness your data engineering skills to support innovative data solutions and insights at Morningstar.
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We are looking for a data engineering professional with at least five years of experience to design and support scalable infrastructures. Your expertise in Snowflake, along with hands-on experience in Python and Informatica, will be pivotal in crafting efficient data processing solutions and enhancing business intelligence capabilities. Collaborate in a hybrid environment contributing to data-driven insights.
Key Responsibilities:
• Design and maintain scalable data pipelines with Snowflake
• Implement advanced data management architectures effectively
• Develop data ingestion pipelines leveraging Python or Informatica
• Utilize AI capabilities within Snowflake to drive analytics
• Optimize existing data pipelines for performance and reliability
Requirements:
• 5+ years of experience in data engineering
• Strong Snowflake expertise with data modeling skills
• Proficient in Python for automation tasks
• Familiarity with ETL processes and SQL
• Basic knowledge of CI/CD deployment workflows
Harness your data engineering skills to support innovative data solutions and insights at Morningstar.
#J-18808-Ljbffr
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