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14 часов назад

Python Data Solutions Specialist - Temporary Position

Формат работы
hybrid
Тип работы
project
Грейд
middle
Английский
c1
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
Python Data Solutions Specialist - Temporary Position (Python/Data Analytics): Supporting and scaling data infrastructure, automating data-labeling operations, and implementing GenAI-based workflows with an accent on Python automation, SQL, and operational analytics. Focus on developing production automation, resolving cross-system data mismatches, analyzing data products and pipelines, and integrating tools into the database ecosystem.

Location: Hybrid, Jerusalem, Israel

Company

hirify.global develops automotive technology and operates an R&D Software department focused on data infrastructure, data products, and AI-enabled solutions.

What you will do

  • Support and scale data infrastructure for data-labeling operations.
  • Develop automation solutions for operational processes using Python.
  • Support and implement GenAI-based workflows and tools.
  • Analyze data-labeling operations, data products, and pipelines using statistical tools.
  • Troubleshoot data mismatches across systems and integrate tools into the database ecosystem.
  • Collaborate with operations, product management, and infrastructure teams.

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Information Systems, or a related field.
  • At least 2 years of experience as a data analyst or in a similar role.
  • Strong Python skills for scripting and automation, plus solid SQL skills for data querying and manipulation.
  • Experience writing and debugging code in production systems.
  • Experience with big data frameworks or solutions such as Spark, Presto, Athena, or Trino.
  • Fluent English is required.

Nice to have

  • Familiarity with Linux environments.
  • Experience with GenAI tools or frameworks.
  • Background in data engineering or operational data analysis.
  • Familiarity with data pipelines and ETL processes.

Culture & Benefits

  • Full-time employment in a hybrid workplace.
  • Temporary position lasting 8 months.
  • Cross-functional collaboration with operations, product, and infrastructure teams.

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