Lead 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 an experienced Lead Data Engineer to join our dynamic team.

As a Lead Data Engineer, you will be responsible for designing, developing, and maintaining data integration solutions for our clients. You will lead a team of engineers to ensure the delivery of high-quality, scalable, and performant data integration solutions.

This is an exciting opportunity for a seasoned data integration professional passionate about technology and who thrives in a fast-paced, dynamic environment.

• Design, develop, and maintain data integration solutions for clients
• Lead a team of engineers to ensure the delivery of high-quality, scalable, and performant data integration solutions
• Collaborate with cross-functional teams to understand business requirements and design data integration solutions that meet those requirements
• Ensure data integration solutions are secure, reliable, and performant
• Develop and maintain documentation, including technical specifications, data flow diagrams, and data mappings
• Continuously learn and stay up-to-date with the latest data integration approaches and tools

• Bachelors degree in Computer Science, Information Systems, or a related field
• 8-13 years of experience in data engineering, data integration, or a related field
• Experience with cloud-native or Spark-based ETL tools such as AWS Glue, Azure Data Factory, or GCP Dataflow
• Strong knowledge of SQL for querying and manipulating data
• Experience with Snowflake for cloud data warehousing
• Experience with at least one cloud platform such as AWS, Azure, or GCP
• Experience leading a team of engineers on data integration projects
• Good verbal and written communication skills in English at a B2 level

• Experience with ETL using Python

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)