Description

Responsibilities

  • Perform data profiling of source data to identify data quality issues and anomalies, business knowledge embedded in data, gathering of natural keys, and metadata information.
  • Create data validation rules on source data to confirm the data has correct and/or expected values.
  • Create process cleanup after complex ETL processes which release resources used to run ETL.
  • Responsible for designing, programming, and monitoring electronic data import/export functions (ETLs), generating ad-hoc reports, identifying issues, fixing bugs, and developing new solutions.

Required Skills

  • Strong understanding of data quality and validation.
  • Understanding of Master Data Management (MDM), data warehouse/data marts.
  • Clear understanding and experience with Microsoft platforms to include SSIS, DQS and MDS.
  • Understanding of ITSM/ITBM. Preference given to staff who have knowledge of ServiceNow.
  • Understanding and implementation of Amazon Redshift.
  • Familiar with Github version control system is a plus.
  • Familiar with health care standard data sets (e.g., HIPAA Ansi x12, ADT, CCD) is a plus.
  • Working knowledge of cloud technologies, including AWS and Azure.

Required Experience

  • IT Industry Experience Required 8 Years
  • Data Integration and ETL experience with SQL Server Integration Services (SSIS) Required 10 Years.
  • Experience in SQL programming Required 8 Years.
  • Experience in designing and developing ETL processes including naming conventions and experience connecting to various systems Required 5 Years.
  • Experience in identifying and mapping data elements across multiple systems including creating templates and best practices to maintain mappings Required 4 Years.
  • Experience using Agile Scrum methodology Highly desired 3 Years.
  • Recent professional experience as an MS SQL DBA Desired 5 Years.

Education Requirements

  • Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.


 

Education

Any Graduate