Lead Data Software Engineer (Python, Spark, Azure/AWS)

Role & responsibilities

• Design and implement end-to-end Big Data solutions for complex business requirements
• Collaborate with cross-functional teams to understand project requirements and deliver high-quality software solutions
• Utilize your expertise in Apache Spark, Python, Java, Scala, and Azure, AWS to develop scalable and efficient data processing systems
• Ensure the performance, security, and scalability of Big Data applications
• Stay current with industry trends and advancements in Big Data technologies, contributing to the continuous improvement of our development processes

Preferred candidate profile

• 5-8 years of hands-on experience in Big Data and Data-related technologies
• Expert-level knowledge and practical experience with Apache Spark
• Proficient programming skills in Python, Java and/or Scala
• Strong proficiency with Hadoop and Hive
• Experience working with native Cloud data services, specifically Azure, AWS

Perks and benefits

• 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.)