Data Engineer focusing on real - time data platform development to support pricing algorithms for Trumid. Collaborating with quantitative researchers and engineers in a dynamic fintech environment.
About the role
- Senior Data Engineer building scalable analytics platform in BigQuery for Trumid's fintech services. Focus on data modeling and governance to support analytics and reporting needs.
Responsibilities
- Design and implement scalable data models in BigQuery using dbt that power analytics, reporting, and operational insights
- Develop systems for delivering data to internal stakeholders and external clients
- Maintain data governance practices including documentation, lineage, testing, and data quality standards
- Optimize query performance and cost efficiency for analytics workloads in BigQuery
- Partner closely with product, sales, analytics, and executive stakeholders to translate business requirements into reliable data models
- Mentor engineers and analysts on analytics engineering and data modeling best practices
- Contribute to the broader data platform, collaborating with engineers building real-time data systems and infrastructure
Requirements
- 5+ years of experience building analytics or data platform infrastructure
- Strong expertise in SQL and dbt, including complex transformation logic and data modeling
- Experience designing data warehouse models in BigQuery or similar cloud data warehouses
- Strong understanding of data modeling patterns in columnar databases
- Experience building curated datasets used by analysts and business stakeholders
- Experience working with modern data stack tools such as Fivetran or similar ingestion frameworks
- Strong communication skills and ability to collaborate with non-technical stakeholders.
Benefits
- Highly competitive compensation
- Fully paid medical, dental and vision coverage
- Remote work
- Team-oriented and collaborative company culture
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