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About our Data Quality Initiative
We are seeking a skilled professional to join our team in developing and executing tests using various tools such as SQL, Tricentis, Python (PySpark), and data quality frameworks.
- Develop and execute tests for data pipelines, ETL processes, and ingestion testing.
- Utilize skills in integration testing, ETL testing, SQL, and Python to ensure high-quality data.
The ideal candidate will have hands-on experience with data quality frameworks, data pipeline development, and ETL testing. Strong problem-solving skills and attention to detail are also essential for this role.
Key Responsibilities: Develop and execute tests, Utilize technical skills, Ensure data quality
Required Skills and Qualifications:
Data Quality Engineer Roles and Responsibilities
- Develop and Execute Tests: Design, develop, and execute automated tests for data pipelines and ETL processes.
- Utilize Technical Skills: Leverage skills in SQL, Python, PySpark, Tricentis, and data quality frameworks to ensure high-quality data.
- Ensure Data Quality: Identify and resolve data quality issues through testing and validation.
Benefits of Working with Us
We offer a dynamic work environment that fosters growth and development. Our team is dedicated to delivering high-quality results and making a positive impact on the organization.
