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Senior Data Quality Engineer

EPAM Systems

Role overview

Qualifications

  • 4+ years of experience in Data Quality verification, Data Governance or Data Visualization testing
  • Strong understanding of data ingestion pipelines and data storage concepts, including OLTP databases and Data Warehousing
  • Advanced SQL skills
  • Experience with at least one cloud platform such as AWS, Azure or GCP

Responsibilities

  • Design and implement data quality verification processes for data products and analytics solutions
  • Perform data migration testing and validate data consistency across systems
  • Collaborate with product, engineering and customer teams to define testing strategies and quality requirements
  • Implement and execute testing for ETL and data ingestion pipelines

Key facts

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

Hard skills

Other skills

  • Analytical Skills
  • Problem Solving
  • Communication
  • Social Skills

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

We are seeking a Senior Data Quality Engineer to ensure the reliability, accuracy and integrity of data across modern data platforms and analytics solutions. The specialist will be responsible for designing and implementing data quality verification processes, validating ETL pipelines and supporting testing activities across cloud-based data ecosystems. Responsibilities Design and implement data quality verification processes for data products and analytics solutions Perform data migration testing and validate data consistency across systems Collaborate with product, engineering and customer teams to define testing strategies and quality requirements Implement and execute testing for ETL and data ingestion pipelines Perform Databricks testing using Notebooks and Python scripting Validate BI reports, dashboards and data visualization outputs Develop automated data validation and quality control processes using Python Support CI/CD processes for data pipelines and data quality workflows Analyze and troubleshoot data discrepancies, inconsistencies and performance issues Establish and improve data quality processes and governance practices from scratch Requirements 4+ years of experience in Data Quality verification, Data Governance or Data Visualization testing Strong understanding of data ingestion pipelines and data storage concepts, including OLTP databases and Data Warehousing Advanced SQL skills Experience with at least one cloud platform such as AWS, Azure or GCP Hands-on experience with ETL testing Knowledge of CI/CD principles and best practices in data processing Experience with Python for data validation and test automation Strong analytical and problem-solving skills Excellent interpersonal and communication abilities Ability to build and establish data quality processes from scratch Upper-Intermediate English language proficiency (B2) Nice to have Experience with Databricks testing and notebook automation Knowledge of modern BI and analytics platforms Experience with automated testing frameworks for data pipelines Understanding of Data Governance best practices Familiarity with large-scale cloud-based data platforms

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Marcus Rivera

Chief Revenue Officer

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