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 searching for a skilled Lead Data Engineer to enhance our energetic team.
In the role of Lead Data Engineer, you will take charge of creating, building, and sustaining data integration solutions for our clientele. Your leadership will guide a team of engineers towards achieving high-quality, scalable, and efficient data integration solutions.

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• Design, build, and sustain data integration solutions for clients
• Guide a team of engineers to guarantee high-quality, scalable, and efficient data integration solutions
• Collaborate with multidisciplinary teams to grasp business needs and devise appropriate data integration solutions
• Ensure the security, reliability, and efficiency of data integration solutions
• Create and update documentation, such as technical specifications, data flow diagrams, and data mappings
• Continuously update knowledge and skills related to the latest data integration methods and tools

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

• Background in 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.)