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Data Quality Engineer in EpicentrK
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EpicentrK
Tasks:
Data quality control
Development of data quality control methods. Independently and in cooperation with the Data Engineer
Participation in the development of the DWH structure
Participation in the development of ETL
Development of technical tasks for the refinement of data sources in order to improve the quality of data
Investigating data quality incidents, performing bug fixes
Documenting ETL/DataQuality processes
Requirements:
Understanding data quality assurance tasks and methods
SQL at the level of writing queries to diagnose data quality problems
Basics of building an enterprise data warehouse (DWH) architecture
ERD modeling and description of business processes
Understanding the principles of ETL processes and data quality assurance during data processing
Description of requirements/writing TOR
Diligence, persistence and the ability to achieve results
Ability to work in a team
