обновлено 8 часов назад
Data Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI) (AWS/Databricks/PySpark): Building and maintaining big-data pipelines and scalable data model systems for analyzing petabytes of data, with an accent on AWS cloud implementation, Databricks, and machine learning applications. Focus on designing fault-tolerant high-scale systems, transforming raw data into usable metrics, and developing custom data lab solutions with analysts and data scientists.
Location: Tel Aviv-Yafo, Israel; hybrid work model
Company
provides a digital intelligence platform that reveals online activity and supports data-driven business decisions for more than 4,300 customers.
What you will do
- Build and maintain big-data pipelines for petabyte-scale datasets.
- Design and implement complex, high-scale, robust, fault-tolerant systems.
- Create data model pipelines that transform raw data into usable metrics.
- Implement data solutions in AWS and work with Databricks and PySpark.
- Research and develop new product features, machine learning applications, and custom data lab capabilities.
- Collaborate with analysts, data scientists, and engineers to translate customer needs into data lab solutions.
Requirements
- BSc in Computer Science or equivalent practical experience.
- At least 3 years of server-side software development experience in a general-purpose programming language such as C#, Go, or Python.
- Experience building large-scale web APIs and scalable systems.
- Experience working in a cloud environment such as AWS or GCP and familiarity with its services.
- Familiarity with databases such as Redis, PostgreSQL, or Firebolt.
- Familiarity with machine learning pipelines and LLM tools and frameworks.
Nice to have
- Experience with microservices architecture.
- Familiarity with Spark, Databricks, and Airflow.
Culture & Benefits
- Hybrid work combining home-based flexibility with face-to-face collaboration.
- Competitive compensation and benefits.
- Team outings and social events.
- Career development through coaching, learning solutions, and internal growth opportunities.
- Inclusive workplace focused on equality, mutual respect, and authentic self-expression.
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