Lead Big 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 an experienced Lead Big Data Software Engineer to join our dynamic team and tackle rewarding challenges.
As a Lead Engineer, you will be pivotal in creating and implementing Big Data solutions across various projects. The ideal candidate will possess deep experience in Big Data and associated technologies, strongly emphasizing Apache Spark, Python, Azure and AWS.

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• Hadoop
• Hive

• Develop and execute end-to-end Big Data solutions for intricate business needs
• Work alongside cross-functional teams to comprehend project requirements and deliver superior software solutions
• Apply your knowledge in Apache Spark, Python, Azure and AWS to build scalable and effective data processing systems
• Maintain the performance, security, and scalability of Big Data applications
• Keep abreast of industry trends and advancements in Big Data technologies to enhance our development processes

• 8-12 years of hands-on experience in Big Data and Data-related technologies
• Expert-level knowledge and practical experience with Apache Spark
• Proficiency in Python
• Strong proficiency with Hadoop and Hive
• Experience working with native Cloud data services, specifically AWS and Azure

• Background in machine learning algorithms and techniques
• Skills in data visualization tools such as Tableau or Power BI
• Knowledge of real-time data processing frameworks like Apache Flink or Apache Storm
• Understanding of containerization technologies like 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.)