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Data Quality Rule Developer

Roles & Responsibilities

  • 3-5 years of SQL development experience
  • Experience with complex queries (six or more joins, cross-server/database)
  • Experience with agile methodology
  • Strong English verbal and written communication skills

Requirements:

  • Develop new data quality rules per documented business requirements and DQ standards
  • Profile data to ensure requirements align with database values
  • Conduct detailed QA of rules and dashboards and document results; participate in UAT as needed
  • Resolve production issues, document work in DQ tickets, and participate in daily scrums and Change Management processes

Job description

Data Quality Rule Developer

Time: IST

Years of exp: 5 yrs

Working hours are mainly IST although there might be an overlap with EST from time to time.

Responsibilities

  • Develop new DQ rules per documented business requirements and according to DQ Rule Development standards.
  • Participate and/or lead peer reviews of DQ rule code.
  • Profile data to ensure documented requirements align to database values.
  • Detailed QA of rules and dashboards, including documenting results.
  • Iterate on rule development, QA and UAT with rule requirement requesters, across AM, APAC & EMEA time zones, as necessary to finalize rules.
  • Document all task work in DQ tickets.
  • Present planned production changes to Change Management Board.
  • Configure DQ dashboards by mapping DQ rules to the standard format dashboard.
  • Resolve Data Quality Help Desk tickets raised for production issues in a timely manner.
  • Participate in Daily Scrum meetings to report progress, roadblocks and daily plans.
  • Perform root cause analysis for production issues as requested.

Qualifications

  • 3-5 years of SQL development experience.
  • Proven Experience with complex queries containing six or more table joins and joining across servers and/or databases.
  • Experience conducting code reviews.
  • Ability to understand database design and referential integrity without an ERD.
  • Experience profiling data on large and diverse data sets.
  • Attention to detail, following all requirements.
  • Proven problem-solving skills.
  • Experience with agile methodology.
  • Solid English verbal and written communications skills.
  • Exposure to tools such as Tableau and Informatica will be a plus.

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