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2 дня назад

Senior Analytics Engineer (dbt)

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

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TL;DR
Senior Analytics Engineer (dbt): Building the transformation core, canonical data model, semantic Gold layer, and data catalog for a master and reference data management platform with an accent on reusable dbt models, data quality, and golden-record logic. Focus on consolidating legacy pipelines, designing conflict-resolution strategies, and delivering trusted data to analysts, operations, domain teams, and frontend systems.

Location: Hybrid in Tbilisi or Limassol

Company

hirify.global operates a financial analysis platform used by more than 100 million users across over 180 countries, providing charting, market data, collaboration, and publishing tools.

What you will do

  • Own the dbt project end to end, including transformations, reusable macros, shared modeling rules, and project conventions.
  • Consolidate legacy transformations into unified and standardized data pipelines.
  • Expand dbt tests and implement data quality checks across the Silver and Gold layers.
  • Design golden-record determination and conflict-resolution strategies for master and reference data.
  • Build and maintain the canonical data model, semantic Gold layer, and data catalog.
  • Define transformation standards and deliver Gold-layer data to end consumers, including frontend integrations through internal systems.

Requirements

  • 4–6 years of experience as an Analytics Engineer or Data Engineer.
  • Expert-level dbt experience covering modeling, reusable macros, tests, project structure, and conventions across data sources such as RDBMS and S3.
  • Advanced SQL skills, including query and engine-side optimization involving indexes, partitions, and data layout.
  • Hands-on experience with data quality tooling such as dbt tests, Great Expectations, or Soda.
  • Experience designing canonical and semantic layers, dimensional models, and database modeling patterns.
  • Experience with master and reference data management, golden-record logic, and translating Go or Python logic into SQL.

Nice to have

  • Experience owning a key component of a mature data platform.
  • Exposure to market data or fintech.

Culture & Benefits

  • Flexible working hours and a hybrid work format.
  • Well-equipped offices for focused and collaborative work.
  • Global distributed team of more than 500 professionals.
  • Learning, mentorship, and long-term career growth.
  • Relocation support, private health insurance, performance-based bonuses, hirify.global Premium access, and regular team events.

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