Overview
Hybrid
Depends on Experience
Contract - W2
Skills
abinitio
etl
sql queries
Job Details
Job Title : ETL tester with AbInitio ETL testing
Location: Whippany, NJ(Hybrid)
Job Description:
Skilled and experienced in ETL testing for AbInitio ETLs with more 8+ years of experience.
An ETL tester validates data accuracy, completeness, and consistency in data extraction, transformation, and loading (ETL) processes. Their job description includes designing and executing test cases, troubleshooting data discrepancies, and ensuring the ETL system meets business and technical requirements by collaborating with developers and data analysts.
Key duties:
Data source and target testing: Test both the source databases to ensure data is extracted correctly and the target tables to ensure data is loaded accurately.
Transformation logic verification: Analyze and verify that transformation rules and logic are applied correctly during the ETL process.
Data integrity and quality assurance: Ensure data integrity is maintained throughout the entire ETL pipeline.
Reporting and documentation: Document test results, defects, and the overall testing process.
SQL and scripting: Use SQL queries to validate data and may use scripting or automation tools to assist in testing.
Skilled and experienced in ETL testing for AbInitio ETLs with more 8+ years of experience.
An ETL tester validates data accuracy, completeness, and consistency in data extraction, transformation, and loading (ETL) processes. Their job description includes designing and executing test cases, troubleshooting data discrepancies, and ensuring the ETL system meets business and technical requirements by collaborating with developers and data analysts.
Key duties:
Data source and target testing: Test both the source databases to ensure data is extracted correctly and the target tables to ensure data is loaded accurately.
Transformation logic verification: Analyze and verify that transformation rules and logic are applied correctly during the ETL process.
Data integrity and quality assurance: Ensure data integrity is maintained throughout the entire ETL pipeline.
Reporting and documentation: Document test results, defects, and the overall testing process.
SQL and scripting: Use SQL queries to validate data and may use scripting or automation tools to assist in testing.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.