Summary
✨ AI‑Generated
Join a data engineering team building and maintaining scalable pipelines and modern cloud-based data platforms. You will migrate existing pipelines to a modern analytics platform, maintain ML ETL workflows, support model development and deployment, and contribute to database design, optimization, and data quality.
Highlights
Work remotely from anywhere in Uzbekistan while building scalable data pipelines, supporting machine learning workflows, modernizing legacy data systems, and contributing to cloud migration and data quality initiatives.
Description
We are looking for a Senior Data Software Engineer with strong expertise in Apache Airflow and Databricks to join our data engineering team.
In this role, you will design, build, and maintain scalable data pipelines, support machine learning workflows, and help migrate existing systems to modern cloud-based platforms.
Experience the freedom of remote work from anywhere in Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent.
Responsibilities
Develop new data pipelines and maintain existing onesMigrate existing data pipelines from BDP to DatabricksMaintain ML ETL pipelines and apply necessary changes to ML codeMonitor daily pipelines and resolve issues as they ariseSupport ML model development, training, and deploymentPerform data integration and transformation through ETL processesContribute to database design, optimization, and data quality assuranceDocument processes and workflows in clear and unambiguous languageCollaborate with the team using BitBucket, Jira, Confluence, and Teams
Requirements
3+ years of experience in data engineering with advanced Proficiency in Python, Spark, and PySparkHands-on experience with Databricks and AWSBackground in ML model development, training, and deploymentSkills in data pipeline development, maintenance, and ETL processesUnderstanding of database design, optimization, and data quality assuranceFluent in English with strong documentation skillsResult-oriented and proactive approach to problem-solving
Nice to have
Familiarity with pandasKnowledge of Databricks with MLFlow or AWS Sagemaker
We offer
We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersDiscounts in local language schools, including offline courses for the Uzbek languageWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageFour trust days per year (sick leave without a medical certificate)Discounts for fitness clubs, dance schools and sports programsBenefits package (sports activities, a variety of stores and services)
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.
