
Senior Data Quality Engineer
2 days ago
We are seeking a highly skilled and detail-oriented professional with strong experience in data validation, processing, and testing.
Key Responsibilities:
- Design, develop, and execute automated and manual test cases for data integrity across various sources including APIs, databases.
- Collaborate with data engineers and developers to understand data flows and ensure quality across the pipeline.
- Develop scripts using Pandas for data comparison, profiling, and anomaly detection.
- Test data against RESTful APIs for correctness, performance, and reliability.
- Create and maintain documentation, including test plans, test cases, and test reports.
- Work with MongoDB for data storage, retrieval, and intermediate queries.
Required Skills and Qualifications:
- Strong proficiency in Python and Pandas for data manipulation and testing.
- Hands-on experience using tools like Postman, Pytest, or similar.
- Experience with data validation, data profiling, and data quality frameworks.
- Familiarity with MongoDB and NoSQL data models is a plus.
- Experience with version control systems (e.g., Git).
- Strong communication and collaboration skills.
The Ideal Candidate:
The ideal candidate will be an expert in data quality engineering and have a passion for ensuring data quality and integrity.
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