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Data Quality Engineer

Atlanta, GA 30328

Posted: 08/14/2018 Employment Type: Direct Hire Job Category: Database Job Number: 10513

Data Quality Engineer

Our client is seeking a motivated Data Quality Engineer to manage techniques and tools to measure, control, monitor, and improve the quality of data needed for key business processes.

Here' s what you' ll be doing:
  • Designing, testing, deploying, and documenting data quality procedures and their outputs
  • Developing the vision for an ever-evolving Data Quality improvement strategy 
  • Using  data quality tooling to profile the project source data, defining  or confirming the definition of the metadata, cleansing  and accurately checking the project data, checking for duplicate or redundant records, and provide information on how to proceed with backend ETL processes
  • Analyzing  and translating client’ s needs into an industry-leading enterprise data architecture that seamlessly integrates the current system and data asset with the new strategy
  • Documenting, at a functional-level, how the procedures work within the data quality applications
  • Working closely with data stewards, ETL developers, and business analysts demonstrating the ability to partner and maintain confidence as it relates to coordinating disparate information while being able to translate for downstream consumption
  • Guiding  team members by offering support, advice and best practices recommendations throughout the project implementation

Here' s what our ideal candidate has:
  • Payment Service or related business knowledge
  • Understanding of Data Governance principles and how Data Governance relates to Data Quality Management
  • Solid data modeling skills
  • Ability to query and analyze data in a database management or file systems is also essential
  • A mastery of how data quality is measured including understanding of completeness, uniqueness, validity, accuracy, integrity, timeliness, etc.
  • Knowledge on the following technologies:
    • Front-end real-time applications for data entry
    • Data integration platforms (e.g., Extract, Transform & Load (ETL)
    • Enterprise Information Integration (EII)
    • Enterprise Service Bus (ESB)
    • Web Services
    • Batch data processing applications
    • Operational data stores (ODS)
    • Data warehouses (DWs)
    • Data marts
    • Big Data repositories and Business Intelligence/reporting/analytics platforms

Benefits: Health, Dental, Vision, PTO, Bonus, Flexible work environment

Keywords: Data, Infosphere, Informatica, Talent, ETL, ESB, ODS

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