2 дня назад
Senior Analytics Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (Fintech): Building the dbt transformation layer and trustworthy dimensional models for finance, compliance, and product analytics with an accent on scalable warehouse architecture, data quality, and stakeholder-driven requirements. Focus on designing models from ambiguous business questions, monitoring data reliability, and extending into ingestion, orchestration, warehouse configuration, and decision support.
Location: Fully remote
Company
builds economic systems for virtual worlds, enabling gaming experiences where money and game development intersect.
What you will do
- Own the transformation layer while dbt is introduced on a new data warehouse, including dimensional models, tests, and documentation.
- Turn ambiguous business questions into durable data models and establish reusable modeling patterns.
- Partner with finance, compliance, and product stakeholders to define requirements, data definitions, and correctness criteria.
- Monitor models and resolve or escalate data quality issues before they affect stakeholders.
- Work across ingestion, orchestration, warehouse configuration, analysis, and decision support when needed.
Requirements
- 7+ years of combined experience in analytics engineering, data engineering, or analytics with substantial modeling ownership.
- Strong analytical SQL skills, including complex joins, window functions, and performance-aware queries.
- Fluency in data and dimensional modeling, with the ability to design schemas from unclear requirements.
- Experience with dbt or an equivalent transformation framework such as Dataform or SQLMesh.
- Experience with cloud data warehouses and familiarity with orchestration, BI, Git, CI/CD, testing, and documentation.
- Ability to work with finance, compliance, and product stakeholders to translate business needs into buildable definitions.
Nice to have
- Platform-level experience with Terraform or infrastructure as code, DMS/CDC, data lake patterns, or data observability.
- Experience working with financial, payments, or regulated data.
Culture & Benefits
- Fully remote work environment.
- Engineering role reporting to the VP, Data.
Hiring process
- Application and meet-and-greet.
- Technical interview.
- Final interview followed by an offer.
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