Senior Data Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Senior Data Engineer to join our team and drive the performance, reliability and scalability of our data platform. This role focuses on Snowflake optimization, pipeline automation and mentoring junior engineers while contributing to key architectural decisions.

Responsibilities

• Monitor Snowflake health and performance
• Debug and resolve failures in data ingestion or transformation
• Support platform tenants with Snowflake and Apache Airflow-related queries
• Build and maintain an end-to-end testing framework to ensure platform changes don't impact tenant flows across ingestion, transformation and orchestration
• Tune queries and optimize data storage for speed and cost efficiency
• Automate manual steps using GitLab CI/CD pipelines
• Support the release process
• Document data architecture, pipeline processes and best practices
• Collaborate with the Snowflake team to research and adopt new tools or frameworks
• Mentor junior colleagues and support their skill development
• Contribute to architectural decisions around data engineering implementation and tooling

Requirements

• 5+ years of experience in data engineering
• Proficiency in SQL and Python for advanced query writing, optimization and automation
• Expertise in Snowflake, Databricks or Oracle
• Familiarity with AWS or Azure cloud services for data engineering
• Understanding of CI/CD pipelines using GitLab or similar tools
• Skills in Apache Airflow and dbt for workflow orchestration and data transformation
• English proficiency at B2 level or higher

Nice to have

• Knowledge of Terraform for infrastructure as code
• Familiarity with Kafka for event streaming and messaging

We offer

• Full access to cutting-edge tools and technologies
• Competitive compensation depending on experience and skills
• All-around Social package: professional & soft skills training, medical & family care programs, sports
• Free English classes
• Unlimited access to LinkedIn learning solutions
• Continuous experience exchange with experts and professionals worldwide
• Friendly team and comfortable working environment
• Engineering, corporate, and social events within and outside the Company
• Flexible working schedule
• Opportunities for self-realization