Lead Data Software 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 skilled Lead Data Software Engineer to join our dynamic team and address challenging and rewarding projects.
As a Lead Engineer, you will play a key role in designing and implementing data solutions across diverse initiatives. The ideal candidate will bring extensive expertise in Data and related technologies, with a strong focus on Apache Spark, Python, Azure, and AWS.

• Hadoop
• Hive

• Design and implement comprehensive Data solutions for complex business challenges
• Collaborate with cross-functional teams to ensure project requirements are met with exceptional software solutions
• Leverage your expertise in Apache Spark, Python, Azure, and AWS to build scalable data processing workflows
• Ensure optimal performance, security, and scalability of Big Data applications
• Stay informed about emerging trends and innovations in Big Data technologies to continuously improve development practices

• 8-12 years of experience working directly with Data and associated technologies
• Expertise in Apache Spark with hands-on application
• Proficiency in Python
• Competency in Hadoop and Hive
• Background in using native Cloud data services on AWS and Azure

• Background in machine learning algorithms and their applications
• Proficiency in tools for data visualization, such as Tableau or Power BI
• Knowledge of frameworks for real-time data processing like Apache Flink or Apache Storm
• Familiarity with containerization platforms including Docker or Kubernetes

• 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.)