Data Quality Engineer
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Data Quality Engineer
coupa ( Pune, India )
Latest job opening in coupa for Data Quality Engineer.A Quality Engineer monitors and tests product quality, ensures compliance with standards, identifies issues, and recommends solutions. What are the duties and responsibilities of a Quality Engineer? Duties include auditing systems, determining quality metrics, monitoring production, and reporting on malfunctions
Continuous automatic and manual testing of data sets is provided by the data quality engineer for usage in internal data systems and data transfer from internal systems to Disney clients. Depending on the systems of the suppliers and the needs of the clients, these data sets might be in many forms, such as JSON, XML, CSV, or RDF. Along with the data engineer and senior staff data engineer, the data quality engineer is a member of the data technology team.
Skills set Required for this Job :
- Issues with data quality, testing protocols, and remedies should all be documented for future use and information exchange.
- familiarity with data processing principles such as document mapping and intricate data linkages.
- Proficiency in requirement analysis, defect tracking, remote team coordination, test reporting, and signoff.
- strong technical and analytical abilities to handle complex problems.
- the capacity to analyze faults’ underlying causes.
- Contribute to the creation and upkeep of data governance guidelines and standards.
- Create, track, and keep up-to-date quality trends, KPIs, and reports for the internal data systems.
- methodical and thorough approach to problem solving.
- Communication techniques that put cooperation ahead of conflict.
- Prior exposure to the Agile methodology
Job Responsibilities
- Work together with cross-functional teams to guarantee prompt and high-quality product delivery.
- Create and run both automated and human test cases for software applications to guarantee the dependability of data transformations, ETL procedures, and pipelines.
- Testing of end-to-end integration across several separate systems and interfaces, such as flat files and APIs (ETL), etc.
- Use ODS, Snowflake data warehouse, and AWS services to test data migration and integration procedures.
- Use industry-standard tools (SQL, Python, iCEDQ, etc.) to test database systems for functionality, integration, regression, and performance.
- Make and keep test strategies, test cases, and test results documented.
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What are the important dates & deadlines?
Application Deadline
Although they did not provide a deadline for application submission, attempt to apply as soon as you can to gain priority.
Additional Information
Job Location(s)
Pune, India
Experience
Freshers / Experience
Salary
Best in industry
Job Type/Timing
Job Type: In Office Job Timing: Full Time