Senior Data Quality Engineer

We are seeking a highly skilled Senior Data Quality Engineer to join our dynamic team. The ideal candidate will play a crucial role in ensuring the accuracy and integrity of our data by implementing comprehensive data quality strategies and maintaining robust data governance processes. If you thrive in a fast-paced environment and possess a strong background in data engineering, we invite you to apply. This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda. #LI-DNI Responsibilities Collaborate with product, engineering, and customer teams to define and execute a data quality strategy Lead data governance processes including data preparation, generation, obfuscation, integration, slicing, and quality control Execute testing across data pipelines, ETLs, APIs, and integration while ensuring performance standards Prepare test data sets, conduct data profiling and benchmarking for optimization Design and implement a quality verification strategy for data products, maintaining compliance with business standards Set up and maintain Data Quality environments adhering to industry requirements, contributing to continuous integration and continuous delivery processes Design, build, and maintain data platforms and automated data quality frameworks, troubleshooting issues as required Requirements Minimum 3 years of experience in Data Management, Data Quality, or Data Governance Proficiency in SQL and understanding of data pipelines, Data Lakes, and ETL testing Knowledge of CI/CD principles and familiarity with major cloud providers like AWS, Azure, GCP Skills in Python or other scripting languages and experience devising test automation frameworks Competency in data analysis, requirements validation, and maintaining QA environments Expertise in Big Data principles and background in test planning, case design, and result reporting Strong analytical, interpersonal, and communication skills with experience in direct customer liaisons Proficiency in English Nice to have Experience with data processing technologies such as Spark, Hadoop, Kafka, ElasticSearch, Pandas, or NumPy Understanding of various ETL tools like Databricks Basic proficiency in Linux and Bash scripting Capability to troubleshoot infrastructure issues, tune performance, and analyze bottlenecks Experience in creating Data project Test Strategies 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 LinkedIn Learning and Get Abstract 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) EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.