What are the responsibilities and job description for the ETL TESTER with strong SQL EXP. - Hybrid in Jersey City, NJ position at Jobs via Dice?
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Job Title: QA Tester/ with 7 -10 years of experience
Job Type: Contract
Onsite: Twice per week, local to NJ
We are seeking a meticulous ETL QA Tester with 7 years of experience, strong SQL skills and experience in ETL testing to ensure data integrity, accuracy, and completeness throughout our data transformation processes. This role demands flexibility in working hours to facilitate effective communication with developers and project teams across various time zones.
Key Responsibilities:
Design, develop, and execute ETL test cases to validate data extraction, transformation, and loading processes.
Write and execute complex SQL queries to perform data validation and back-end testing.
Identify, report, and track defects systematically.
Participate in project meetings and be available for discussions in US EST working hours as needed
Job Title: QA Tester/ with 7 -10 years of experience
Job Type: Contract
Onsite: Twice per week, local to NJ
We are seeking a meticulous ETL QA Tester with 7 years of experience, strong SQL skills and experience in ETL testing to ensure data integrity, accuracy, and completeness throughout our data transformation processes. This role demands flexibility in working hours to facilitate effective communication with developers and project teams across various time zones.
Key Responsibilities:
Design, develop, and execute ETL test cases to validate data extraction, transformation, and loading processes.
Write and execute complex SQL queries to perform data validation and back-end testing.
Identify, report, and track defects systematically.
Participate in project meetings and be available for discussions in US EST working hours as needed
- Clarify requirements when necessary and ensure comprehensive coverage of all requirements in the testing process. Required Skills & Qualifications:
- Must-have: Strong SQL skills with hands-on experience in writing and optimizing complex queries
- Familiarity with Data Warehouses and Data Lake is a must.
- Knowledge of Python, Pandas
- Experience in ETL Testing: Understanding of data extraction, transformation, and loading (ETL) processes. Experience with SQL DBMS Tools: Knowledge of database management systems such as Oracle, Denodo, Azure Databricks, SQL Server.
- Knowledge of Agile Methodologies and Defect Tracking Tools: Familiarity with Agile development processes and proficiency in using defect tracking tools like JIRA.
