Lead Data Quality Engineer

We are looking for a skilled Lead Data Quality Engineer to support three key engineering streams (Data Product Engineering Framework, Polarmesh Portal, Platform Engineering Team). You will collaborate closely with Data Engineers, Platform Engineers, and DevOps teams to design, build, and maintain automated testing solutions across data pipelines, APIs, and platform components in a modern Azure-based ecosystem. Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda. Responsibilities Design, build, and maintain automated testing solutions across data pipelines, APIs, and platform components Test data quality, data transformations, and pipeline outputs using SQL and/or Python Maintain and troubleshoot data pipelines to ensure reliability and performance Monitor, log, and diagnose pipeline failures to support timely resolution Collaborate with Data Engineers, Platform Engineers, and DevOps teams on testing strategies and solutions Implement CI/CD pipelines to support automated testing processes Apply automated testing approaches across data pipelines, APIs, and platform components Manage version control workflows to support collaborative development Requirements 5+ years of experience as a QA Engineer / Test Automation Engineer in Data Engineering or Data Platform environments Proficiency in Azure cloud services Experience with Azure Databricks, Spark/PySpark, or similar big data platforms Understanding of data pipelines, ETL/ELT processes, and data pipeline maintenance Skills in SQL and/or Python for testing data quality, transformations, and pipeline outputs Experience with CI/CD pipelines, preferably using Azure DevOps, GitHub Actions, or similar tools Knowledge of automated testing approaches for data pipelines, APIs, and platform components Familiarity with version control systems such as GitHub Understanding of monitoring, logging, and troubleshooting pipeline failures Capability to work closely with Data Engineers, Platform Engineers, and DevOps teams English proficiency at B2 level or higher Nice to have Experience with Delta Lake, Azure Data Factory, ADLS, Synapse, or Event Hub Knowledge of infrastructure as code tools such as Terraform or ARM/Bicep Experience with data quality tools/frameworks Understanding of Docker, Kubernetes, or containerized environments Experience in Agile/Scrum teams We offer We connect like-minded people: Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth: Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers Discounts in local language schools, including online courses for the Kazakh language We cover it all: Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Medical & family care package Six trust days per year (sick leave without a medical certificate) Coverage of psychology sessions of your choice Benefits package (sports activities, a variety of stores and services) Housing support program: preferential mortgage access via Otbasy Bank partnership EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.