Lead Big Data Solution Architect remote vacancies | EPAM Anywhere

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Lead Big Data Solution Architect

Lead Big Data Solution Architect 40 часов в неделю, 12+ месяцев

Currently, we are looking for a smart, passionate, and creative remote Lead Big Data Solution Architect.

Our ideal candidate will possess skills that make them a subject matter expert in various big data technologies and data science. These roles will entail architecture analysis, design, client management, and other skills.

Responsibilities

  • Lead a cross functional team of 6-10 members using Scrum methodology
    • Provide technical assistance, mentorship and guidance to team members
      • Communicate with Product Owner and customer to clarify the project requirements
        • Develop proposals for implementation and design of scalable big data architecture
          • Participate in customer’s workshops and presentation of the proposed solution
            • Design, implement, and deploy high-performance, custom applications at scale on Hadoop
              • Define and develop network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic
                • Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis
                  • Develop roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning
                    • Review and audit of existing solution, design and system architecture
                      • Perform profiling, troubleshooting of existing solutions
                        • Create technical documentation

                          Requirements

                          • 5+ years’ of experience in programming and scripting languages such as Java, Python, Ruby
                            • Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, and Cassandra
                              • Experience with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Elastic MapReduce or Pivotal Cloud Foundry
                                • Experience in client-driven large-scale implementation projects
                                  • Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization)
                                    • Technical team leading and team management experience, deep understanding of Agile (Scrum), RUP programming process
                                      • Strong experience in applications design, development and maintenance
                                        • Solid knowledge of design patterns and refactoring concepts
                                          • Practical expertise in performance tuning and optimization, bottleneck problems analysis
                                            • Solid technical expertise & troubleshooting skills
                                              • Possess expertise in Object-Oriented Analysis and Design
                                                • English level: Upper-Intermediate+ (B2+)
                                                  Big DataJava
                                                  Python.Core

                                                  Бенефиты в поддерживаемых странах

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                                                  Для тебя

                                                    • ДМС для тебя и скидки на медицинские услуги для твоей семьи
                                                    • Бесплатные сессии с профессиональными психологами и коучами
                                                    • Бесплатные спортивные и оздоровительные онлайн-программы
                                                    • Стабильный заработок
                                                    • Оплачиваемый отпуск
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                                                  Для твоей комфортной работы

                                                  • 100% удаленная работа
                                                  • Бесплатный лицензионный софт
                                                  • Возможность работать на личном оборудовании (BYOD)
                                                  • Стабильная загрузка
                                                  • Возможности релокации
                                                  • Разные форматы трудоустройства
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                                                    Для твоего роста

                                                    • Бесплатные тренинги по hard и soft skills
                                                    • Доступ к LinkedIn Learning платформе
                                                    • Курсы иностранных языков
                                                    • Доступ к внутренним и внешним электронным библиотекам
                                                    • Программа поддержки в сертификации
                                                    • Персональный менеджер по карьерному развитию

                                                      40 часов в неделю

                                                      Нагрузка в неделю

                                                      12+ месяцев

                                                      Продолжительность проекта

                                                      Belarus, Russia, Ukraine

                                                      Локации, доступные для позиции