EPAM Systems

Lead Big Data Developer

1 month agoSzeged, Hungary

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.

DESCRIPTION
We are looking for a Lead Big Data Developer to join our team in Szeged.
#LI-Remote
Responsibilities

  • Lead, design and implement innovative analytical solution using Hadoop, NoSQL and other Big Data related technologies, evaluating new features and architecture in Cloud/ on premise/ Hybrid solutions
  • Work with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisions
  • Build collaborative partnerships with architects and key individuals within other functional groups
  • Perform detailed analysis of business problems and technical environments and use this in designing quality technical solution
  • Actively participate in code review and test solutions to ensure it meets best practice specifications
  • Build and foster a high performance engineering culture, mentor team members and provide team with the tools and motivation
  • Write project documentation
Requirements
  • 5+ years experience as a Data Architect with design/development background with Java/Scala or Python
  • Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
  • Experience in Big Data technologies - including Hadoop Core, Apache HBase, Oozie, MapReduce, Crunch, SolR
  • Solid Cloud experience with 2 or more leading cloud providers (AWS/Azure/GCP): Storage; Compute; Networking; Identity and Security; NoSQL; RDBMS and Cubes; Big Data Processing; Queues and Stream Processing; Serverless; Data Analysis and Visualization; ML as a service (SageMaker; Tensorflow)
  • More than 5 years' 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, Disaster Recovery, Integration, Operation, Security
  • Strong experience building data ingestion pipelines (simulating Extract, Transform, Load workload), Data Warehouse or Database architecture
  • Strong experience with data modeling; hands-on development experience with modern Big Data components
  • Cloud: experience in designing, automation, provisioning, deploying and administering scalable, available and fault tolerant systems
  • Good understanding of CI/CD principles and best practices
  • Analytical approach to problem-solving with an ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication skills
  • Data-oriented personality and possessing compliance awareness, such as PI, GDPR, HIPAA
  • Motivated, independent, efficient and able to handle several projects; work under pressure with a solid sense for setting priorities
  • Ability to work in a fast-paced (startup like) agile development environment
  • Strong experience in high load and IoT Data Platform architectures and infrastructures
  • Vast experience with Containers and Resource Management systems: Docker, Kubernetes, Yarn
  • Experience in direct customer communications
  • Experience in technology/team leading of data oriented projects
  • English proficiency - B2 and higher
We offer
  • Permanent job with remote work opportunity
  • Widespread training and development opportunities, language courses, soft-skill trainings
  • Vast opportunities for self-development, unlimited access to LinkedIn Learning, GAL trainings
  • Multilingual work environment
  • Competitive salary and benefit packages (private health care, sportcard, fringe benefits)
  • International projects, working in hybrid teams with high-skilled peers
  • Sport and social teams support, advanced CSR programs
Apply

Job ID: EPAM-53487