Data Quality Engineer
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Angajator: | Luxoft Romania |
Domeniu: |
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Tip job: | full-time |
Nivel job: | peste 5 ani experienta |
Orase: |
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Actualizat la: | 07.04.2022 |
Remote work: | On-site |
About Luxoft
Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 23 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications. DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.
Luxoft Romania has been established since 2001. We currently have approximately 2500 employees working from different locations in the country.
Mandatory Skills Description:
- Bachelor's Degree
- 5+ years of job-related experience
-Code development experience and experience with the following languages:
- SQL
- Python
- General Scripting in Linux
Agile Methodology (Scrum Master) experience
Nice-to-Have Skills:
In-depth knowledge of Data Center HW products
Application skills with Qlik, Jira, and Excel
The Data Quality Engineer is a member of the Customer Quality Management team. This individual will lead and drive the sprint and release process for data source acquisition and analytical tool development.
Responsibilities:
- Perform data extraction, transform, and a load of data from multiple worldwide sources
- Generate scripts to schedule and automate data loads
- Analyze extracted data and make recommendations on ways to use individual data elements within applications
- Build mining and parse scripts/algorithms for machine service data captures; this work is used by product engineering for issue isolation
- Isolation of data used by quality engineering to validate commodity attach rates.
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