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The opportunity
Corporate Data Management is a unit that owns and implements corporate data management strategy. Its main objectives are to make Teva´s data ecosystem transparent, governed, defined, and measured.
Data quality framework, with its subcomponents, is an essential part of the data management journey.How you’ll spend your day
Improve E2E data quality processes (from requirement to monitor the cleansing) and ensure a robust process.
Write designs for ETLs that transfer the required data for data quality to Teva Lake in Azure.
Develop data quality rules in Informatica and Databricks to assist Teva business.
Assist Teva business units to remediate data quality issues and cleanse their data.
Monitor data quality KPIs and report them to the respective owning business function.
In close collaboration with data governance unit, establish data quality procedures covering defined DQ dimensions (e.g. accuracy, consistency, completeness, timeliness, uniqueness, validity).