Lead Big Data Software Engineer

Technologies

• Hadoop
• Hive

Responsibilities

• 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

Requirements

• 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

Nice to have

• 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

We offer

• 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.)