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2 дня назад

Data Developer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Romania/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Data Developer (ML Pipelines): Deliver data and AI solutions by developing data pipelines aligned with predictive data models with an accent on data architecture, transformation, and model integration. Focus on designing scalable data models, ensuring data quality and integrity, monitoring performance, and deploying models into production systems.

Location: Office-based in Montreal or Quebec City, Canada; Bucharest, Romania

Company

hirify.global is a global leader in the video game industry, creating original gaming experiences like Assassin’s Creed, Rainbow Six, and Just Dance.

What you will do

  • Lead design, implementation, and maintenance of data transport processes for data scientists.
  • Perform data transformations to feed predictive models and ensure pipeline-to-model transitions.
  • Design scalable data models and lead data architecture initiatives for structured and unstructured data.
  • Integrate trained predictive models into applications, systems, and operations.
  • Monitor data quality, flow dynamics, and performance; report and adjust infrastructure as needed.
  • Use distributed computing for model training and contribute to various data-related projects.

Requirements

  • University degree in Computer Science, Engineering, or related field.
  • Minimum 5 years in data work, coding, scripting, and design; 5 years developing large-scale data systems; 3 years in data modeling and NoSQL/SQL databases.
  • Skills in data flow processes, ETL operations, data management systems, large software development, tools like Python/SQL/Bash, ML understanding, Agile.
  • Ability to conduct independent research for complex problems.

Nice to have

  • Cloud environments (Databricks, Snowflake, AWS).
  • Iceberg/Delta formats, COO models, Spark/Scala/PySpark, Flume/NiFi/Kafka, REST APIs, C++/C#/Java/.NET.
  • Data-oriented principles, tuning, cleaning, transport, integrity.

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