18 часов назад
Senior Data Quality Engineer (Databricks)
hhВакансия с HeadHunter. Контакт ведёт на hh.ru
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TL;DR
Senior Data Quality Engineer (Databricks): Building automated testing solutions for data pipelines, APIs, and Azure platform components with an accent on data quality validation, pipeline testing, and CI/CD integration. Focus on validating transformations with SQL and Python, troubleshooting pipeline failures, and supporting Databricks-based ETL/ELT processes.
Location: Remote or hybrid in Kazakhstan; office access is available in Almaty, Astana, or Karaganda. Relocation opportunities are available within EPAM offices in 55+ countries.
Company
EPAM provides custom software, product, platform engineering, and AI transformation services for enterprises and startups.
What you will do
- Design, build, and maintain automated testing solutions for data pipelines, APIs, and platform components.
- Validate data quality, transformations, and pipeline outputs using SQL and Python.
- Maintain test automation frameworks in an Azure-based ecosystem, including Databricks and big data platforms.
- Integrate automated tests into CI/CD pipelines and collaborate with Data Engineering, Platform Engineering, and DevOps teams.
- Monitor, log, and troubleshoot pipeline failures while supporting ETL/ELT maintenance and optimization.
- Contribute to testing across the Data Product Engineering Framework, Polarmesh Portal, and Platform Engineering Team.
Requirements
- 5+ years of experience as a QA Engineer or Test Automation Engineer in data engineering or data platform environments.
- Strong hands-on experience with Azure cloud services and Azure Databricks, Spark/PySpark, or similar platforms.
- Experience testing data quality, transformations, and pipeline outputs with SQL and/or Python.
- Understanding of data pipelines, ETL/ELT processes, monitoring, logging, and troubleshooting.
- Experience with CI/CD tools such as Azure DevOps or GitHub Actions, plus version control with GitHub.
- Ability to collaborate with Data Engineers, Platform Engineers, and DevOps teams on testing strategy.
Nice to have
- Experience with Delta Lake, Azure Data Factory, ADLS, Synapse, or Event Hub.
- Knowledge of Terraform or ARM/Bicep and data quality tools or frameworks.
- Basic understanding of Docker, Kubernetes, or containerized environments.
- Experience working in Agile/Scrum teams.
Culture & Benefits
- Option to work from home or from an EPAM office, with an opportunity to work abroad for up to two months per year.
- Relocation opportunities across EPAM offices in 55+ countries.
- Leadership development, career advising, soft-skills, and well-being programs.
- Certifications, access to EPAM's internal learning database, and free English classes.
- Employee Stock Purchase Plan, medical and family care package, six trust days, psychology session coverage, and other benefits.
- Housing support through preferential mortgage access via the Otbasy Bank partnership.
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