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Lead Data Quality Engineer

EPAM Systems

Role overview

Qualifications

  • A minimum of 5 years' experience in Data Quality Engineering
  • At least 1 year of relevant leadership experience
  • Familiarity with BI testing
  • Proficiency in Python

Responsibilities

  • Undertaking data quality assessments using data from the primary application to ensure data quality
  • Performing regression testing to verify data quality and pinpoint potential problems
  • Creating test cases to confirm the accuracy and completeness of data
  • Analyzing and communicating test results to stakeholders

Key facts

  • Remote from: Ukraine, Europe, EMEA
  • Full time
  • Senior (5-10 years)
  • Data Quality Engineer
  • English

Hard skills

Other skills

  • Communication

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

Links

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Job description

Join our team as a Lead Data Quality Engineer . The selected individual will play an essential role in guaranteeing the accuracy and quality of data contained in reports, in alignment with UI design and data available in the application. Leverage your expertise with us and apply! Responsibilities Undertaking data quality assessments using data from the primary application to ensure data quality Performing regression testing to verify data quality and pinpoint potential problems Creating test cases to confirm the accuracy and completeness of data Analyzing and communicating test results to stakeholders Verifying the accuracy of visual implementations in line with UI design in reports Requirements A minimum of 5 years' experience in Data Quality Engineering At least 1 year of relevant leadership experience Familiarity with BI testing Proficiency in Python Skills to create test cases and conduct analyses and reporting of test results Fluent English communication skills at a B2+ level Nice to have Experience with Amazon Web Services, Azure DevOps, or GCP is preferred Familiarity with Databricks would be beneficial

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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