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Data Science Analyst (AI & Data)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
c1
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Science Analyst (AI & Data) (Python/PySpark/Palantir Foundry): Building and maintaining production data pipelines, data models, and analytic applications with an accent on data quality, distributed processing, and cloud data platforms. Focus on optimizing Spark transformations, implementing Foundry Ontology models, and translating ambiguous business requirements into tested technical solutions.

Location: Madrid, Spain

Company

hirify.global is a global consulting firm delivering AI and data, digital commerce, marketing and design, and advisory solutions across multiple industries.

What you will do

  • Design, build, and maintain data pipelines in Palantir Foundry using Python and PySpark.
  • Implement Foundry Data Model and Ontology elements, including object types, relationships, and actions.
  • Translate business requirements into technical solutions, estimate effort, and document design decisions.
  • Ensure data quality through validations, health checks, unit tests, schema control, and build monitoring.
  • Optimize distributed transformations through partitioning, incremental processing, and efficient Spark usage.
  • Build consumption layers and lightweight analytic applications in Workshop, Contour, and Quiver, and collaborate with client data and IT teams.

Requirements

  • 2+ years of professional experience in Data Science or Data Engineering in production environments.
  • Strong Python skills, including modular programming, data structures, object-oriented programming, Pandas, dependency management, and automated testing.
  • Hands-on PySpark experience with DataFrames, joins, window functions, aggregations, partitioning, and distributed execution.
  • Advanced SQL skills, including CTEs, window functions, query optimization, and analytical modeling.
  • Experience with a cloud data platform or lakehouse such as Palantir Foundry, Databricks, Fabric/Synapse, Snowflake, or BigQuery.
  • Understanding of Git, code review, collaborative repositories, ambiguous requirements, and data modeling. Fluency in Spanish and English is required.

Culture & Benefits

  • Collaborative environment with multidisciplinary experts.
  • Regular interaction with senior client stakeholders.
  • International and diverse team focused on curiosity and collaboration.
  • Commitment to diversity, equity, inclusion, and belonging.
  • Opportunities to grow and contribute to impactful client solutions.

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