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 Senior Big Data Engineer to join our dynamic team.

Collaboration with product and engineering teams to understand requirements and drive decisions will be a key aspect of this role. Additionally, you will work closely with architects, technical leads, and other functional groups to deliver high-quality technical solutions.

Responsibilities

• Implement innovative analytical solution using Spark/PySpark, NoSQL and other Big Data related technologies, applying new features in Cloud solutions
• Work with product and engineering teams to understand requirement and help drive decisions
• Maintain collaboration with architects, technical leads and key individuals within other functional groups
• Perform analysis of business problems and technical environments and use this in implementation of quality technical solutions
• Participate in code review and test solutions to ensure it meets best practice specifications
• Write project documentation

Requirements

• 3+ years of experience in software development with Big Data technologies (e.g. administration, configuration management, monitoring, debugging and performance tuning)
• Engineering experience and practice in Data Management, Data Storage, Data Visualization, Operation, Security
• Familiar with concepts of data ingestion pipelines, Data Warehousing, Data Lakes
• Experience with data modeling; development experience with modern Big Data components
• Knowledge and practical experience in development of scalable, available and fault tolerant systems
• Understanding of CI/CD principles and best practices
• Knowledge of Containers and Resource Management systems: Docker, Kubernetes, Yarn
• Experience in direct customer communications