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The Global Data Quality program is part of the overall Global Data Governance Organization, with a mandate to drive data quality awareness and remediation guidance to application service lines and account teams. This individual will develop and implement data quality rules and support the JLL Data Quality Program across the EMEA, AM and APAC regions.
Job Responsibility:
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
Requirements:
4+ years of SQL and Databricks 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