The Role :
As a Data QA Engineer, you will work closely with developers, product managers, Compliance and quality assurance teams to build and execute automated test scripts. This role will focus on the development of analysis methods, automated procedures & documentation for auditing, reviewing and correcting data inaccuracies. This includes writing automation to perform data audits and resolving discrepancies. This is a position that requires an individual with an analytical mind, a proactive work ethic, and a persevering attitude. As an NRSRO, ensuring data accuracy is not only important, but it is subject to regulation by the SEC.
+ Build test automation suites, as well as play a part in maintaining our existing suite of automated tests to be used by development and Data Quality engineers.
+ Analyze user requirements and product architecture to derive testing requirements.
+ Build, execute, and debug automated functional and back-end tests.
+ Diagnose problems and report discrepancies and enhancements to Development.
+ Design and report on overall data quality
+ Work with business analysts and other teams to make decisions around what to automate.
Salary: INR 3,00,000 - 6,00,000 P.A.
Industry:Banking / Financial Services / Broking
Functional Area:IT Software - Application Programming, Maintenance
Role Category:Programming & Design
Employment Type:Permanent Job, Full Time
Desired Candidate Profile
+ A bachelors degree in computer science or a related field.
+ Excellent understanding and knowledge of data quality assurance practices, with 3-5 years experience.
+ Basic knowledge of RDBMS; expert knowledge of SQL
+ Experience with test automation tools as well as deployment tools, like uDeploy.
+ Experience in TDD, continuous integration, and code review practice is strongly desired.
+ Advanced knowledge of Excel or similar data analysis software
+ Experience working with large data sets (1 million + rows)
Morningstar India (P) Ltd.