• Location: USA, Georgia, Atlanta
  • Salary: US$128000 - US$129000 per annum
  • Technology: Microsoft BI Jobs
  • Job Type: Permanent
  • Date Posted: 24th Jan, 2019
  • Reference: 7458

My client is seeking a proficient Data Quality Engineer with experience using proven techniques and tools to measure, control, monitor and improve the quality of data needed for key business processes. The Data Quality Engineer will be responsible for the following:
  • Develop the vision for an ever-evolving Data Quality improvement strategy that not only satisfies current needs but can be easily adapted to future needs as new sources of data input and requirements for data output are identified
  • Designing, testing, deploying, and documenting data quality procedures and their outputs
  • The primary tasks associated with this role are to use data quality tooling to profile the project source data, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes
  • Partner with data stewards to provide summary results of data quality analysis, which will be used to make decisions regarding how to measure business rules and quality of the data
  • Analyze and translate client's needs into an industry-leading enterprise data architecture that seamlessly integrates the current system and data asset with the new strategy
  • Document at a functional level how the procedures work within the data quality applications
  • Work 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
  • Research all available data quality technologies and solutions, determine suitability and provide guidance on the best solution for the project at hand
  • Guide team members by offering support, advice and best practices recommendations throughout the project implementation
  • Employ extreme attention to detail and flexibility to adapt to dynamic client environments and changing business, operations and technology priorities

Basic Qualifications
  • Bachelor's degree, or equivalent work experience
  • Six to Eight plus years of statistical analytics experience

Preferred Qualifications
  • Information Management Degree or equivalent
  • Experience with Inforspere Data Quality Suite, Talend or Informatica (Talend or Infosphere strongly preferred)
  • Payment service industry experience or related business knowledge
  • Understanding of Data Governance principles and how Data Governance relates to Data Quality Management
  • Strong data modeling skills
  • Ability to query and analyze data in a database management or file system
  • A mastery of how data quality is measured, including understanding of completeness, uniqueness, validity, accuracy, integrity, timeliness, etc.
  • Ability to perform root cause analysis to develop best DQM solutions

Knowledge of the following:
  • Front-end, real-time applications for data entry
  • Data integration platforms (e.g. Extract, Transform & Load (ETL))
  • Enterprise Information Integration (EII)
  • Enterprise Services Bus (ESB), Web Services
  • Batch data processing applications
  • Operational data stores (ODS)
  • Data warehouses
  • Data marts
  • Big data repositories
  • Business intelligence/reporting/analytics platforms

Data Quality Management Experience:
  • Data discovery & profiling
  • Data quality rules management
  • Developing reusable data quality validation
  • Cleansing and standardization components
  • Data quality monitoring and reporting, including dashboards and scorecards

Personal characteristics:
  • Detail oriented
  • Tenacity and patience (constant effort and diligence over sustained periods of time)
  • Self-motivated
  • Excellent communicator - communicates with senior management, business and technology managers, data stewards and technical programmers/analysts