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Data Engineer – Data Quality (DQ)

  • Full Time, onsite
  • Steneral Consulting
  • United States, United States of America
Salary undisclosed

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Job title Data Engineer – Data Quality (DQ)

Location Chicago, Illinois ( 100 % remote )

Visa USC, GC

Job Description

Required Experience:

  • The primary criteria should be – Deep hands-on / technical experience configuring DQ tools (e.g. – Informatica, IBM, etc.) and building DQ rules.
  • 5+ years’ experience in Data Quality, Data Governance and DQ Stewardship
  • Hands-on experience with configuration and maintenance of Data Quality tools i.e. Ataccama also it's implementation experience as well
  • Ataccama experience as a secondary criterion.
  • Hands-on experience with data profiling, DQ rules, data analysis and data observability
  • Experienced in programing languages such as SQL, Python, Java, and others
  • Experienced in creating and managing visualization dashboards for DQ including customizations.
  • Understanding of cloud technologies such as Azure (preferable), google, AWS and snowflake
  • Familiar with data catalog practices and its integration with DQ
  • Comfortable working independently and with other teams/vendors to resolve issues
  • Good communication and writing skills
  • Working knowledge of PowerBI is a plus

Roles & Responsibilities

  • Responsible for day-today configuration and maintenance of data quality platform
  • Work with project teams to deliver data quality use case which may include data profiling, data analysis, DQ rule development and dashboards
  • Build/Configure integrations to new data sources for data quality initiatives
  • Issue management for data quality requests
  • Develop customizations as required for use cases which may include API integrations, custom dashboards, and workflows
  • Working with client's teams and vendor to resolve technical issues in the platform