What are the responsibilities and job description for the Onsite Work - Need Data Engineer in Brentwood TN position at Steneral Consulting?
Onsite role, must be local or relocate on own expense prior to start
Other Requirements
the Azure Data Factory to support the client’s data structures like the Enterprise Data Warehouse,
Data Marts and Semantic layer data. The Engineer will utilize their strong background in data,
design, development, integration, testing and ETL processes, as well as expertise with Azure Data
Factory.
Responsibilities
Other Requirements
- Background Check & Drug Screen
- A valid driver's license and auto liability insurance
the Azure Data Factory to support the client’s data structures like the Enterprise Data Warehouse,
Data Marts and Semantic layer data. The Engineer will utilize their strong background in data,
design, development, integration, testing and ETL processes, as well as expertise with Azure Data
Factory.
Responsibilities
- Design and develop data pipelines using Azure Data Factory to support data integration and ETL processes
- Work with business stakeholders to understand data requirements and translate them into technical specifications
- Develop and maintain data processing and transformation logic using SQL in Azure Data Factory
- Optimize data pipelines for performance, scalability, and reliability
- Troubleshoot issues with data pipelines and provide timely resolutions
- Implement data security and access controls to protect sensitive data
- Collaborate with cross-functional teams to develop and integrate data from various sources and systems
- Document data pipeline design, development, and maintenance processes
- Minimum of 3 years of experience in data integration and ETL processes
- Strong experience with Azure Data Factory and Azure services, such as Azure Blob Storage, Azure SQL Database, and Azure Data Lake Storage
- Healthcare experience, specifically, being familiar with provider and some payor language/nomenclature
- Experience with SQL and programming languages, such as Python and PowerShell
- Solid understanding of data modeling and data management principles, including relational and normal form data with various schemas
- Familiarity with data warehousing and BI tools, such as Power BI and Azure Analysis Services
- Extensive ability to create semantic layer data for consumption in reporting and analytics products
- A Bachelor’s degree in Computer Science, Engineering, or a related field is required
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