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ETL Tools and Technologies: Proficiency in using popular ETL tools like Informatica or Talend, as well as familiarity with database management systems.
SQL and Scripting Languages: Strong SQL skills and proficiency in scripting languages like Python or Bash for automating ETL processes.
Data Modeling and Data Warehousing: Understanding of data modeling concepts and data warehousing principles.
Analytical Skills: Ability to analyze data, identify issues, and propose solutions.
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