2 дня назад
Senior Analytics Engineer (dbt)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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, Premium access, and regular team events.
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