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Über
We are looking for a
Data QA Engineer
to ensure the quality, accuracy, and integrity of data across our systems. You will be responsible for testing data pipelines, validating datasets, and collaborating with data engineers and analysts to maintain high data quality standards.
Client is looking for a team to assist in developing new capabilities to accommodate the expansion of the universe on our current reference data management platform. We require support to enhance our existing platform with additional functionalities. The goal is to build new capabilities that align with our expansion plans.
Key Responsibilities:
Develop and execute test cases for data validation and quality assurance. Perform data validation on ETL processes, ensuring data accuracy and consistency. Identify, troubleshoot, and resolve data quality issues across databases and pipelines. Automate testing processes for large datasets and complex data systems. Work closely with data engineers and analysts to define and implement quality standards. Qualifications: 7+ years of experience in Data QA or a related role. Strong knowledge of SQL for data validation and querying. Experience with data testing tools (e.g., Apache Nifi, Talend, DBT). Familiarity with ETL processes and data pipelines. Attention to detail with strong problem-solving skills.
Required Skills : Data Analysis,Spring,Data Warehouse
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
Sprachkenntnisse
- English
Hinweis für Nutzer
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