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Core Data - Big Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Core Data - Big Data Engineer (Python/Java/Scala): Designing and implementing high-scale systems and data pipelines that retrieve, process, and analyze data from millions of digital users with an accent on big data processing, reliability, and customer-facing data. Focus on solving complex data challenges, productizing algorithms, eliminating infrastructure bottlenecks, and building monitoring for reliable data ingestion and calculation.

Location: Tel Aviv, Israel; hybrid work with regular in-office collaboration and the ability to work partially from home

Company

hirify.global provides a digital intelligence platform that reveals online activity and data for more than 4,300 customers worldwide.

What you will do

  • Design and implement complex, high-scale systems that retrieve, process, and analyze digital data.
  • Collaborate with data engineers, data scientists, and data analysts to solve complex data challenges and bring algorithms into production.
  • Improve code infrastructure and data pipelines while identifying and eliminating performance bottlenecks.
  • Experiment with machine learning and big data processing technologies.
  • Build and maintain monitoring infrastructure for reliable data ingestion and calculation.

Requirements

  • At least 4 years of software or data engineering development experience.
  • Professional experience with Python, Java, or Scala.
  • Strong knowledge of data structures, design patterns, and object-oriented programming.
  • Experience with CI/CD practices and Git.
  • BSc in Computer Science, Engineering, or a related technical field.
  • Strong communication, ownership, prioritization, and independent collaboration skills.

Nice to have

  • Experience with Docker and Kubernetes.
  • Experience designing and productizing complex big data pipelines.
  • Familiarity with AWS, Azure, or GCP.
  • Experience with Spark, Airflow, Kafka, Parquet, Databricks, or EMR.

Culture & Benefits

  • Work on challenging algorithmic problems and products used by real customers.
  • Open dialogue, autonomy, and support for employee-led ideas.
  • Competitive compensation and employee benefits.
  • Regular team outings and social events.
  • Career development through coaching, learning solutions, and internal growth opportunities.
  • Inclusive workplace focused on equality and mutual respect.

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