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Data Solutions Engineer
2 months ago
About Milliman's MedInsight Team
Our team at Milliman MedInsight combines expertise in healthcare operations and technology to deliver innovative solutions to complex business problems.
About Milliman
With over 75 years of experience, Milliman is a leading global provider of actuarial and related services. Our consulting practices span healthcare, property & casualty insurance, life insurance, and financial services.
Key Responsibilities:
- Develop and maintain efficient ETL processes for seamless data flow.
- Create and manage data models aligning with business requirements.
- Integrate diverse data sources into a unified data repository.
- Develop and optimize T-SQL queries to ensure efficient data manipulation and retrieval.
- Implement and manage data processing tasks using Azure Data Brick for large-scale data analytics.
- Design, develop, and maintain ETL workflows within Azure Data Factory for seamless data integration.
- Collaborate with stakeholders to understand and implement business requirements using T-SQL, SSIS, Azure Data Brick, and Azure Data Factory.
- Troubleshoot and optimize performance issues in T-SQL scripts, Azure Data Brick processes, and Azure Data Factory pipelines.
- Design and develop PowerBI reports aligning with business requirements.
Requirements:
- 2-5+ years of experience in Data Engineering.
- Excellent SQL skills (T-SQL).
- Experience in Azure Data Bricks - experience with Spark SQL, Scala/Python.
- Good understanding of Spark.
- Good understanding of PowerBI and Analytical services.
- Hands-on experience in SSIS/Azure Data Factory.
Nice to Have:
- Experience with Azure DevOps.
- Experience with Azure Functions.
- Experience with C#/ OOPS.
- Experience with Git.
- Experience in Spark.
- Any exposure in the Healthcare domain.
- A passion for databases and an understanding that solutions will affect our entire suite of applications.
- Excellent problem-solving skills.
- Excellent communication skills.
- Performance-oriented mindset.
Education Requirements:
A Bachelor's or Master's degree in Computer Science, Information Technology, or related fields is preferred. Alternatively, candidates with 2+ years of strong work experience will be considered.