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.
Our organization is seeking a skilled Senior Data Engineer to become an integral part of our team.
In this role, you will focus on projects related to data integration and ETL on cloud-based platforms. You will take charge of creating and executing sophisticated data solutions, ensuring data accuracy, dependability, and accessibility.

• Create and execute sophisticated data solutions on cloud-based platforms
• Build ETL processes utilizing SQL, Python, and other applicable technologies
• Maintain data accuracy, reliability, and accessibility for all stakeholders
• Work with cross-functional teams to comprehend data integration needs and specifications
• Produce and sustain documentation, including technical specifications, data flow diagrams, and data mappings
• Enhance and tune data integration processes for optimal performance and efficiency, guaranteeing data accuracy and integrity

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field
• 5-8 years of experience in data engineering
• Proficiency in cloud-native or Spark-based ETL tools such as AWS Glue, Azure Data Factory, or GCP Dataflow
• Strong knowledge of SQL for data querying and manipulation
• Qualifications in Snowflake for data warehousing
• Familiarity with cloud platforms like AWS, GCP, or Azure for data storage and processing
• Excellent problem-solving skills and attention to detail
• 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.)