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Job ID : 36810

Location : Charlotte, NC

Company Name : Dart Point

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $67000 - $79000  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Data warehouse, SQL, ETL tools..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

 Responsibilities:

  • Develop solutions for optimal extraction, transformation, and loading of data from a wide variety of data sources into targeted databases.
  • Support ETL operations and the administration of data and systems securely and in accordance with enterprise data governance standards.
  • Follow all department procedures, including source control, release/deployment, and change management procedures.
  • Collaborate directly with internal teammates to take business ideas and develop technical requirements that meet the business request.
  • Perform quality assurance testing and troubleshooting to ensure all pipeline jobs and technical activities are completed accurately and timely.
  • Identify, design, and implement internal process improvements such as automation of manual processes and the optimization of data delivery for greater scalability.
  • Support internal IT teammates by helping to implement tools for tracking of data, users & performance of sql queries that enable strategic planning of product enhancements & process improvements.
  • Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Create and maintain data-related documentation.
  • Comply with and adhere to all regulatory compliance areas, policies and procedures, including HIPAA requirements.
  • Work with stakeholders including the Executive, Clinical, and Product teams to assist with data-related technical issues and support their data needs.

Key Skills:

  • Data warehouse.
  • SQL.
  • ETL tools.
  • ETL concepts.
  • Data analysis.
  • Data quality.
  • ETL processes.

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