EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.We are seeking a highly skilledSenior Data Quality Engineerto join our team.In this role, you will be instrumental in ensuring the integrity and quality of our data across various platforms. You will work closely with product, engineering, and customer teams to design and implement robust data quality strategies, contribute to data governance processes, and maintain high standards of data quality across all business areas.
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#LI-DNIResponsibilitiesWork with product, engineering and customer teams to understand requirements to design and implement a data quality strategyPlay the key role in the data governance processes, including data preparation, generation, data obfuscation, data integration, data slicing and data quality controlPerform testing of data pipelines, ETLs, APIs, integration, and performance checksPrepare test data sets, perform data profiling and benchmarkingDesign and implement quality verification of data products strategy and ensure that all areas of the business perform according to the defined standardsPrepare Data Quality environments and applications in compliance with the standards and contribute to the CI/CD process establishmentParticipate in designing and maintaining data platforms and design and building data quality automation framework, including potential troubleshooting issuesRequirements3+ years of hands-on engineering experience and practice in Data Management, Data Quality verification/Data Governance, Data IntegrationGood understanding of data pipelines, Data Lakes, ETL testingKnowledge of CI/CD principles and best practices in the data processingObligatory excellent SQL knowledge (aggregation, windows functions)Experience in Python (or other scripting languages)Experience with one of the major cloud providers, AWS, Azure or GCPExperience in building up a test automation frameworkUnderstanding of Big Data PrinciplesExperience in Data analysis & requirements validationExperience in maintaining QA environmentsConcrete experience in Data project Test Planning, Test Case design, and Test Result ReportingAnalytical approach to problem-solving; excellent interpersonal and communication skillsExperience in direct customer communicationsEnglish proficiencyNice to haveExperience with a few data processing technologies, e.g., Spark, Hadoop, Kafka, ElasticSearch, Python libraries (Pandas/NumPy/…)Good understanding of various ETL Tools (e.g., Databricks)Linux and Bash scripting basicsSkills in infrastructure troubleshooting, support in performance tuning and optimization, bottleneck problem analysisExperience in Data project Test Strategy creationWe offerDynamic, entrepreneurial corporate environmentDiverse multicultural, multi-functional, and multilingual work environmentOpportunities for personal and career growth in a progressive industryGlobal scope, international projectsWidespread training and development opportunitiesUnlimited access to LinkedIn learning solutionsCompetitive salary and various benefitsAdvanced wellbeing and CSR programs, recreation areaDo you know someone interested in starting a career in IT? Share our EPAM Campus programs with them, where they can enhance their knowledge in various fields online, free of charge.
