 
						Data Quality Engineer
4 days ago
Job Title : Data Quality Engineer (Data QE)
We are seeking a skilled and experienced Data Quality Engineer (Data QE) to join our team. The ideal candidate will have a strong background in Quality Engineering, ETL and database testing, and hands-on expertise with Python, PySpark, SQL, and Databricks. You will be responsible for designing and executing tests to ensure the quality and reliability of data pipelines and analytics platforms.
Key Responsibilities :
- Design and implement end-to-end test strategies for data pipelines and ETL processes. 
- Conduct thorough ETL and database testing to ensure data accuracy, completeness, and consistency. 
- Develop automation frameworks and scripts using Python and PySpark. 
- Perform data validation and integrity checks using advanced SQL queries. 
- Work with big data platforms such as Databricks for testing and validation. 
- Collaborate closely with data engineers, analysts, and product teams to understand data requirements. 
- Identify data quality issues, troubleshoot, and work with stakeholders to resolve them. 
- Document test cases, results, and provide regular status updates. 
Mandatory Skills & Experience :
- 6+ years of experience in Quality Engineering and QE processes. 
- 2-3 years of hands-on experience in ETL testing and database testing. 
- 2-3 years of experience with Python and PySpark for data testing and automation. 
- 2-3 years of experience in writing complex SQL queries for data validation. 
- Experience working with Databricks or similar big data platforms. 
Preferred Qualifications :
- Experience with cloud data platforms (e.g., AWS, Azure, GCP). 
- Familiarity with CI/CD pipelines and test automation tools. 
- Knowledge of data governance and data quality frameworks. 
Education : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.
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