Lead Big Data Developer Szeged, Hungary

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

• Dynamic, entrepreneurial, high speed, high growth corporate environment
• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunities for personal and career growth in a progressive industry
• Global scope, international projects
• Widespread training and development opportunities
• Unlimited access to LinkedIn learning solutions
• Competitive salary and various benefits
• Sport and social teams support, recreation area, advanced CSR programs
• No less important is the safety, well-being, and experience of our applicants. Therefore until further notice, all EPAM employment interviews will be conducted remotely. Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience. We look forward to speaking with you!