Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии детализировано, но работа связана с аутсорсинговой компанией, что часто означает высокую нагрузку и меньшую стабильность. Кроме того, зарплата не указана, что затрудняет оценку общей привлекательности.
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Аутсорсинговая компанияЗарплата не указанаПодробное описание
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Data Engineering): Building complex data pipelines, ETL processes, and data architectures with an accent on data quality, performance optimization, and reliable integration. Focus on designing scalable data solutions, developing testing strategies, coaching engineers, and implementing cloud, big data, and CI/CD practices.
Location: Bosnia & Herzegovina, Serbia, or North Macedonia; hybrid workplace.
Company
hirify.global is a global design and development software company delivering digital products for startups, enterprises, private equity companies, and Fortune 500 companies.
What you will do
Lead the development of complex data pipelines and ETL processes while ensuring data quality and a strong user experience.
Translate high-level requirements into detailed data architectures and designs in collaboration with product and design teams.
Optimize the performance, quality, and responsiveness of data solutions.
Collaborate with Product Designers, AI/ML Engineers, Product Managers, and other cross-functional teams to integrate and deliver data solutions.
Provide technical guidance, coaching, and code reviews for Data Engineers.
Develop testing strategies and maintain documentation for code, architecture, and development processes.
Requirements
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
6+ years of professional experience in Data Engineering.
Proficiency in SQL and experience with one or more of Python, Scala, or Java.
Experience with Docker and containerization, data engineering and ETL tools and methodologies.
Understanding of data warehousing concepts, OLAP and OLTP environments, and relational and non-relational data modeling.
Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
Knowledge of version control systems such as Git and familiarity with data visualization tools.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Experience with CI/CD, Infrastructure as Code, and RESTful API design and implementation.
Proactive continuous learning, analytical and problem-solving ability, business-context awareness, commitment to quality and client satisfaction, and a cooperative working style.
Good written and spoken English for daily work in international teams.
Culture & Benefits
Work in international, cross-functional teams.
Collaborate in a pleasant and cooperative environment.
Support continuous learning and improvement.
Contribute to products and solutions for worldwide industry leaders.
Hiring process
Applications are reviewed as they arrive.
Selected candidates are contacted to proceed in the process.
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