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Senior Big Data Software Engineer for a Computer Software Company

Senior Big Data Software Engineer for a Computer Software Company 40 часов в неделю, 12+ месяцев
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К сожалению, вакансия более не актуальна.

We are currently looking for a remote Senior Big Data Software Engineer with 5+ years of relevant experience in Big Data engineering area to join our team.

The customer is a provider of software as a service and cloud-based remote connectivity services for collaboration, IT management and customer engagement. The company's products give users and administrators access to remote computers.

Responsibilities

  • Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the data warehouse lifecycle phases to design an integrated quality solution that address requirements
    • Ensure completeness and compatibility of the technical infrastructure required to support system performance, availability and architecture requirements
      • Design and plan for the integration for all data warehouse technical components
        • Provide input and recommendations on technical issues to the team
          • Develop implementation and operation support plans
            • Provide data design, data extracts and transforms
              • Build robust and scalable data integration (ETL) pipelines using AWS Services, EMR, Python, Pig and Spark
                • Mentor and develop other junior data engineers
                  • Contribute to the high-quality data architecture to support business analysts, data scientists and customer reporting needs
                    • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources

                      Requirements

                      • 5+ years of experience in writing complex, highly optimized SQL queries across large data sets
                        • Bachelor's degree in Computer Science
                          • 5+ years of relevant experience in Big Data engineering area
                            • Skills in data modeling, ETL development and data warehousing
                              • Skills with AWS services, including S3, EMR, Kinesis and RDS
                                • Knowledge of big data stack of technologies, including Hadoop, HDFS, Hive, Spark, Pig, Presto
                                  • Experience with using Airflow, creating and maintaining DAGs, Operators and Hooks
                                    • Knowledge of distributed systems as it pertains to data storage and computing
                                      • Good problem solving and analytical skills
                                        • Knowledge of software engineering best practices across the development lifecycle, including Agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
                                          • English level - B1

                                            Nice to have

                                            • Master’s degree in Computer Science

                                              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