ETL Quality Analyst

Hello Associates,

Hope you are doing great!!

We are a well-established, US-based, IT Staffing & Consulting firm, providing services since 1994, for clients across the USA.

We have an urgent opening for below. I have mentioned a Complete Job Description.

If you are interested in this position, please send me your latest updated resume.

Job Title: ETL QA Tester

Location: Jersey City, NJ (Hybrid)

Job Summary: We are seeking a meticulous ETL QA Tester with strong SQL skills and experience in Data warehouse ETL testing to ensure data integrity, accuracy, and completeness throughout our data transformation processes.
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 collaborate with developers to resolve the issues
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.
Experience in ETL Testing: Understanding of data extraction, transformation, and loading (ETL) processes.
Knowledge of Agile Methodologies and Defect Tracking Tools: Familiarity with Agile development processes and proficiency in using defect tracking tools like JIRA.
Data Validation & Reconciliation: Ability to compare large datasets between sources and targets.
Experience with SQL DBMS Tools: Knowledge of database management systems such as Oracle, Azure Databricks, Denodo.
Familiarity with data warehouses and data lake is required.
Strong analytical and problem-solving skills with attention to detail.
Excellent communication skills with the ability to work in a collaborative and fast-paced environment.
Nice to Have:
Knowledge of Python is an advantage.
Knowledge of Azure Databricks is a great plus.
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and their data services is a plus.