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7 дней назад

Snowflake Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
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
Snowflake Data Engineer (Snowflake ML/PySpark): Building and migrating programme data models and pipelines in client Snowflake environments with an accent on Snowflake ML, PySpark transformation, SQL, and model validation. Focus on constructing scalable Snowflake-native solutions, comparing model performance, supporting pre-production to production cutover, and resolving issues during the warranty period.

Location: London, hybrid with onsite attendance two days per week

Company

hirify.global is a strategic AI partner providing analytics solutions to Fortune 500 companies.

What you will do

  • Build nominated programme use cases in client Snowflake pre-production environments.
  • Support proof-of-concept migration activities with programme Data Scientists.
  • Transform PySpark pipelines and advise on efficiency improvements and Snowflake-native alternatives.
  • Build and standardize data models and pipelines using Snowflake frameworks and workflows.
  • Validate model functionality and performance, then document findings and observations.
  • Support production cutover and resolve issues during the warranty period.

Requirements

  • Mandatory experience with Snowflake and Snowflake ML.
  • Experience building data models or data pipelines with Snowflake ML.
  • Strong PySpark and SQL expertise.
  • Ability to construct scalable models using Snowflake frameworks and workflows.
  • Experience collaborating with Data Scientists on model validation, standardization, and issue resolution.

Nice to have

  • Data Build Tool (dbt) experience.

Culture & Benefits

  • Three-month fixed-term contract covering the programme migration period.
  • Hybrid working arrangement in London with two onsite days per week.
  • Collaboration with Data Scientists on enterprise AI and analytics use cases.

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