Data Quality Specialist
1 week ago
At Sampoorna Consultants Pvt. Ltd, we are seeking an experienced Data Quality Specialist to join our team. As a key member of our data engineering group, you will play a crucial role in ensuring the quality and accuracy of our data.
About the Role:
We estimate that this role will be paid approximately ₹1200000 per annum, depending on your qualifications and experience.
The successful candidate will have a strong understanding of data warehouse/data lake architecture and development, as well as hands-on experience with Python and libraries like Pandas, Spark, and NumPy. Additionally, they will have working experience with relational and NOSQL databases, and a strong analytical and technical skillset to address issues.
The ideal candidate will be able to collaborate with cross-functional teams to ensure quality and timely delivery of products, identify areas of improvement in data quality processes, and propose solutions to enhance data accuracy and reliability. They will also be able to develop and execute data quality frameworks, solutions, and automated test cases for software applications to ensure the reliability of data pipelines and data transformations.
Responsibilities:
- Collaborate with cross-functional teams to ensure quality and timely delivery of products.
- Identify areas of improvement in data quality processes and propose solutions to enhance data accuracy and reliability and create test strategies.
- Collaborate with the Data Delivery technology teams and architects to define and develop solutions.
- Collaborate with data engineering and development teams to implement data quality best practices and optimize data workflows.
- Develop and execute Data Quality frameworks, solutions and automated test cases for software applications to ensure the reliability of data pipelines and data transformations.
- End to end integration testing between multiple independent systems and interfaces (flat files, APIs (ETL)) etc.
- Utilize AWS services (EC2, Glue, Athena etc. to test data integration and migration processes.
- Conduct functional, integration, regression, and performance testing of database systems using industry standard technologies (SQL, NOSQL, Python, etc.)
- Create and maintain documentation of test plans, test cases and testing results, data quality issues, testing procedures, and resolutions.
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