Job Description & How to Apply Below
In this vital position, you will engage in data engineering by designing and building ETL/ELT pipelines that convert raw data into insights. You will also be responsible for implementing substantial data models to ensure organizational data consistency. Working alongside Actuarial and Data Science partners, you’ll provide vital datasets for high-impact projects.
Key Responsibilities:
• Design and optimize ETL/ELT data pipelines
• Implement comprehensive data models for accuracy
• Develop Power BI dashboards with advanced DAX
• Collaborate with Actuarial and Data Science teams
• Ensure data integrity through iterative validation
Requirements:
• Advanced SQL and Power BI (DAX) expertise
• Strong skills in Python or R for data handling
• In-depth knowledge of data warehousing
• Experience working in Agile/Scrum settings
• Familiarity with Git version control procedures
Leverage your skills in data modeling and BI development to propel organizational insights and data governance across teams.
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