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Job Description
- Identify, compare, and resolve data quality problems
- Evaluate large dataset for quality and accuracy
- Determine business impact level for data quality issues
- Work with Programmers to correct data quality errors
- Determine root cause for data quality errors and make recommendations for long-term solutions
- Research and determine scope and complexity of issue so as to identify steps to fix issue
- Develop process improvements to enhance overall data quality
- Develop and execute data cleanup measures
- Maintain a record of original data and corrected data
- Ensure adherence to data quality standards
- Resolve all internal data exceptions in timely and accurate manner
- Identify areas of improvement to achieve data quality
- Analyze, query and manipulate data according to defined business rules and procedures
Job Requirements
- Arabic Speaker or bilingual .
- Proffered who live in Saudi Arabia.
- Technical experience working in Teradata and CLDM
- Experience in working in the Telecom domain
- Able to independently draft SQL rules (in Teradata) and Data Quality rules, cases and verification model
- Experience on working with Teradata Utilities like BTEQ, FEXP, MLOAD, FLOAD
- Experience on working with Unix and ETL (Ab-Initio preferred) environments
- Have a good understanding of the data flows and propose / define DQ rules for key data elements along the data journey i.e. from source system to reporting
- Collaborate with the team on the work involving data management, referential data usage, reconciliations and data consistency
- Flexibility to lead or participate in other data governance initiatives or programs
- Experience and Ability to manage the technical and data related discussions with the end user of the system and business
- Work extensively with the different teams across SDLC/Agile and reconciliation business owners regarding identified data quality and reconciliation issues