14 часов назад
Python Data Solutions Specialist - Temporary Position
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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