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15 часов назад

Senior Big Data Engineer (Location Analytics)

Формат работы
onsite
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

Senior Big Data Engineer (Spark/Python): Designing, developing, and maintaining the data infrastructure for a location analytics platform with an accent on scalable data pipelines and performance optimization. Focus on building robust ETL processes, integrating large-scale data sources, and optimizing cloud-based storage and processing.

Location: Ramat Gan, Israel

Company

hirify.global is a location analytics unicorn transforming how organizations understand the physical world through high-scale visibility into consumer behavior.

What you will do

  • Design, build, and optimize robust and scalable data pipelines to process and integrate large volumes of data.
  • Implement data validation, cleansing, and enrichment techniques to ensure high-quality platform data.
  • Identify performance bottlenecks and optimize storage mechanisms to reduce latency.
  • Manage scalable data infrastructure using GCP and AWS cloud technologies.
  • Collaborate with Data Scientists, Product Managers, and Software Engineers to deliver business-critical solutions.
  • Enforce data governance practices and ensure compliance with data privacy and security regulations.

Requirements

  • 5+ years of professional software development experience, with at least 3 years specifically as a Data Engineer.
  • Mandatory: Strong proficiency in Apache Spark and building data processing applications.
  • Mandatory: Proficiency in PySpark or Scala for Spark development.
  • Proven track record in designing ETL pipelines, data integration, and transformation processes.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
  • Solid understanding of SQL, relational databases, and data modeling.

Nice to have

  • Prior experience in the geospatial or location analytics domain.
  • Familiarity with Hadoop ecosystem components and serialization formats like Parquet or Delta.
  • Experience with orchestration tools like Apache Airflow.

Culture & Benefits

  • Opportunity to join a fast-growing unicorn company in a pioneering market.
  • Collaborative environment working alongside top-notch technical talent.
  • Competitive salary and excellent benefits package.
  • Culture of innovation and professional growth through mentorship.

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