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Lead Big Data Developer Szeged, Hungary

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Lead Big Data Developer Description

Job #: 53487
EPAM is committed to providing our global team of 36,700+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. In today’s new market conditions, we continue to support operations for hundreds of clients around the world remotely, with the vast majority of our teams working from home. No matter where you are located, you’ll join a dedicated, 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.

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!
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