Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это руководящая роль в зрелой компании цифровой аналитики с современными задачами в AI и облачной обработке данных; сочетание разработки, управления командой и работы с клиентами делает объем обязанностей высоким.
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Известная компания
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Team Lead (AI): Leading a data engineering team while building scalable AWS, Python, and Spark pipelines and integrating AI/LLM agentic workflows with an accent on massive-scale data processing, customer-facing technical leadership, and advanced analytics. Focus on architecting cost-efficient data systems, solving complex customer data challenges, and converting analysis into platform roadmap improvements.
Location: Tel Aviv-Yafo, Israel; hybrid work with regular in-office collaboration and the ability to work partially from home.
Company
hirify.global provides digital intelligence data and solutions to more than 4,300 global customers, including Google, Meta, and OpenAI.
What you will do
Directly manage and mentor Data Engineers, drive sprint execution, deliver the technical roadmap, and maintain high engineering standards.
Architect and build scalable, cost-efficient cloud data pipelines using AWS, Python, and Spark for massive datasets.
Integrate AI and LLM agentic workflows to automate data processes.
Lead customer discovery sessions, scope custom data solutions, act as the technical lead for enterprise clients, and handle escalations.
Use SQL, dashboards, and data analysis to generate customer insights and feed client feedback into the platform roadmap.
Requirements
5+ years of data engineering experience, including 2+ years in a leadership role.
Experience in a customer-facing technical role such as solutions engineering, technical consulting, or customer success engineering, including customer requirements, delivery, and support.
Strong hands-on experience processing massive datasets with PySpark, Spark, or Hadoop.
Advanced proficiency in Python and proven experience with AWS or another major cloud infrastructure.
Practical experience with LLMs, AI frameworks, or vector databases for automated, agentic data workflows.
Strong data analysis skills, including advanced SQL and analytics for dataset exploration, data-quality validation, and communicating insights.
Experience managing complex, multi-stage development and production lifecycles.
Culture & Benefits
Face-to-face collaboration in the office is emphasized, with partial work-from-home flexibility.
Open dialogue, employee initiative, and opportunities to create organizational change are encouraged.
Competitive compensation and benefits, team outings, and happy hours are offered.
Career development includes coaching, learning solutions, and opportunities for internal transitions.
An inclusive workplace promotes equality, mutual respect, and diverse perspectives.
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