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• The Data Engineer will work with large healthcare datasets and will translate client's business requirements into enterprise systems, applications, or process designs for large complex health data solutions.
• The role will drive and support initiatives for the HI EDW as well as participate in the wider EDW group s areas of data usage and governance, information management, privacy and security, SOA, data analytics and visualization and information modeling.

Ideal Background: Strong technical experience in ADF and Snowflake

TOP REQUIREMENTS:

• Snowflake and Azure Data Factory are the key skills for this role.
• 5+ years of Data engineering experience with a focus on Data Warehousing
• 2+ years of experience creating pipelines in Azure Data Factory (ADF)
• 5+ years developing ETL using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools.

Required:

• 5+ years of Data engineering experience with a focus on Data Warehousing
• 2+ years of experience creating pipelines in Azure Data Factory (ADF)
• 5+ years developing ETL using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools.
• 5+ years of experience with Relational Databases, such as Oracle, Snowflake, SQL Server, etc.
• 3+ years of experience creating stored procedures with Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL
• 2+ years of experience with GitHub, SVN, or similar source control systems
• 2+ years of experience processing structured and un-structured data.
• Experience with HL7 and FHIR standards, and processing files in these formats.
• 3+ years analyzing project requirements and developing detailed specifications for ETL requirements.
• Excellent problem-solving and analytical skills, with the ability to troubleshoot and optimize data pipelines.
• Ability to adapt to evolving technologies and changing business requirements.
• Bachelors or Advanced Degree in a related field such as Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business

Preferred:

• 2+ years of batch or PowerShell scripting
• 2+ years of experience with Python scripting.
• 3+ years of data modeling experience in a data warehouse environment
• Experience or familiarity with Informatica Intelligent Cloud Services (specifically Data Integration)
• Experience designing and building APIs in Snowflake and ADF (e.g. REST, RPC)
• Experience with State Medicaid / Medicare / Healthcare applications
• Azure certifications related to data engineering or data analytics.

Data Engineer (Azure Data Factory, ETL, PowerCenter, Data Warehouse) | TELECOMMUTE |