Senior Data Engineer

About the role

EPAM is seeking a Senior Data Engineer to build an MLOps platform and enable automated model delivery, deployment, and feature engineering at scale using Azure technologies.

Key responsibilities

• Migrate current Spark feature engineering pipelines to Azure.
• Partner with the team to define and build a forecasting model.
• Assist with taking the developed machine learning model into production.
• Help design and implement the CI/CD pipeline that feeds the Databricks Feature Store.
• Collaborate closely with Data Scientists and engineers to match feature engineering to ML model needs.
• Maintain reliability and scalability of data pipelines across the platform.
• Diagnose and improve existing Spark-based workflows throughout the migration.

Required profile

• Hands‑on experience of 3+ years working with PySpark.
• Solid background in core Data Science skills.
• Proven track record in feature engineering and machine‑learning pipeline development.
• Practical experience migrating data pipelines to cloud environments.
• English proficiency at B2 (Upper‑Intermediate) level or higher.

Required skills

• PySpark
• Azure Databricks
• Azure Data Factory
• Azure DevOps
• CI/CD pipelines
• MLflow
• Docker
• Azure Kubernetes Services

What we offer

• International projects with top brands.
• Work with global teams of highly skilled, diverse peers.
• Healthcare benefits.
• Employee financial programs.
• Paid time off and sick leave.
• Upskilling, reskilling and certification courses.
• Unlimited access to the LinkedIn Learning library and 22,000+ courses.
• Global career opportunities.
• Volunteer and community involvement opportunities.
• EPAM Employee Groups.
• Award‑winning culture recognized by Glassdoor, Newsweek and LinkedIn.