Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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На международном рынке: $163к/год ($84к - $205к)
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У роли понятная зона ответственности senior Data Engineer и сильный контекст кибербезопасности, но модернизация legacy-платформы и формат аутсорсинга могут дать меньше стабильности проекта, чем работа напрямую в продуктовой компании.
?Модернизация платформы
?Аутсорсинговый формат
Актуальный стек
Кибербезопасность
Влияние на архитектуру
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Cybersecurity) (Snowflake/DBT/Python): Building and optimizing scalable data pipelines and transformation workflows for a cybersecurity product protecting applications from automated attacks and malicious traffic with an accent on reliability, performance, and legacy-system modernization. Focus on optimizing complex SQL, improving data processing latency, understanding interconnected data systems, and driving architectural improvements across security analytics infrastructure.
Location: Remote, Kyiv, Kyiv city, Ukraine
Company
Work with hirify.global and international engineering teams on a large-scale cybersecurity product that protects applications from automated attacks and malicious activity.
What you will do
Maintain and enhance data processes for reliability, scalability, and performance.
Analyze existing data models, workflows, tables, processing jobs, legacy code, and interconnected services.
Design, optimize, and support large-scale data pipelines and transformation processes.
Identify bottlenecks, technical gaps, and architectural improvement opportunities.
Drive data-platform modernization and contribute to long-term architectural evolution.
Collaborate with product engineering and cross-functional teams on solution design, implementation, and continuous improvement.
Requirements
5+ years of commercial experience in Data Engineering.
Expert-level Python and SQL skills, including optimization of complex queries for performance and scalability.
Strong hands-on experience with DBT for data transformation and modeling.
Solid understanding of database concepts, including DDL, DML, indexing, normalization, and advanced SQL techniques.
Hands-on experience with Snowflake and Elastic Stack technologies.
Proven experience designing, building, and maintaining large-scale data pipelines.
Strong analytical thinking, problem-solving, communication, and collaboration skills.
Ability to work independently in a high-autonomy engineering environment and drive technical initiatives from idea through implementation.
Upper-Intermediate English level or higher.
Nice to have
Experience with Airflow for workflow orchestration.
Culture & Benefits
Remote full-time role in an autonomous, highly proactive engineering environment.
Opportunity to influence technical and architectural decisions across scalable cybersecurity data infrastructure.
Collaboration with experienced international teams on security analytics, monitoring, and detection capabilities.
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