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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Pharma / Biotech |
Functional Area | General / Other Software |
EmploymentType | Full-time |
Job Title: Engineer I, Software Quality AssuranceFunctional Area: Data Science and Digital MarketingBand: 4Requisition ID: When you re part of Thermo Fisher Scientific, you ll do challenging work, and be part of a team that values performance, quality and innovation. As part of a successful, growing global organization you will be encouraged to perform at your best. With revenues of more than $30 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make significant contributions to the world.Location/Division Specific InformationCommunity of Practice (COP) team is part of corporate IT function under Enterprise Technology Organization (ETO) . COP Team is responsible for Agile Transformation, Program Management, Portfolio Management, Quality and Continuous Process Improvement for Thermo Fisher ScientificHow will you make an impact We are seeking an entry level Data Science Quality Engineer, you will be responsible for providing required support for Data test engineers and validating as well as designing, documenting and performing data quality checks. Additionally, you will be collaborating to articulate increasingly complex work to a wide variety of stakeholdersAs a data science quality engineer, you will implement methods to improve data reliability and quality. combine raw information from different sources to create consistent and machine-readable formats. test architectures that enable data extraction and transformation for predictive or prescriptive modeling.construct datasets that are easy to analyze and support company requirements and early indications of deviations from the standard process and potential excursionsOverall, you ll strive for efficiency by aligning data systems with business goals.What will you do
Keyskills :
test designdata scienceregression testingcontinuous process improvementcloud storageentry levelsql queriesdata qualitytest casesautomationmusic makingdata extractionreportingdata integrityjava