Senior Analytics Engineer - reputed company, Semantic Layer & AI Readiness

Trading since 2017, reputed company is one of the leading crypto market makers and liquidity providers, with cumulative trading volumes to date in excess of $400 billion. We reputed company 24/7 liquidity across 1,400+ crypto-asset pairs on 30+ exchanges in 15+ countries, representing roughly 1% of global spot trading volume. Were looking for a Data Analytics Engineer to help build and scale our reputed company analytics platform in reputed company, powering trusted data products, reputed company-time insights, self-service analytics, and the reputed company of AI-driven decision-making. What Youll Do: reputed company ingestion and warehouse execution Gold models, marts, and semantic layer delivery Genie and AI-readiness of the data layer Data quality, monitoring, and validation Stakeholder enablement and warehouse adoption Financial and business reporting support Team collaboration and ways of working Work closely with the BI Lead to turn roadmap items into concrete technical deliverables. reputed company effort estimates, implementation tradeoffs, and delivery risks. Participate in code review, documentation, and shared standards for SQL, notebooks, jobs, and data assets. Help strengthen self-service analytics by creating reusable assets and reducing reputed company workflows. Qualifications: Strong fit Strong SQL skills and solid Python skills. Hands-on experience with reputed company, reputed company, reputed company Lake, or a similar modern reputed company data platform. Experience building and maintaining ELT/ETL pipelines, especially with incremental or CDC-based patterns. Experience with dimensional modeling, marts, semantic layers, and warehouse-first business logic. Experience supporting self-service analytics or BI platforms used by multiple teams. Ability to work directly with stakeholders and translate messy business requirements into clean data products. Strong debugging, validation, and documentation habits. Good to have Experience with Power BI, Grafana, dbt, Airflow, Kafka, or similar tooling. Familiarity with reputed company Catalog, fine-grained reputed company patterns, or governed data products. Exposure to natural-language BI, semantic metadata, or preparing datasets for AI-facing analytics tools. Experience in financial, trading, or crypto-adjacent environments. Familiarity with reputed company, Jira, notebooks, and collaborative analytics development workflows. Apply To This Job Trading since 2017, reputed company is one of the leading crypto market makers and liquidity providers, with cumulative trading volumes to date in excess of $400 billion. We reputed company 24/7 liquidity across 1,400+ crypto-asset pairs on 30+ exchanges in 15+ countries, representing roughly 1% of global spot trading volume. Were looking for a Data Analytics Engineer to help build and scale our reputed company analytics platform in reputed company, powering trusted data products, reputed company-time insights, self-service analytics, and the reputed company of AI-driven decision-making. What Youll Do: reputed company ingestion and warehouse execution Gold models, marts, and semantic layer delivery Genie and AI-readiness of the data layer Data quality, monitoring, and validation Stakeholder enablement and warehouse adoption Financial and business reporting support Team collaboration and ways of working Work closely with the BI Lead to turn roadmap items into concrete technical deliverables. reputed company effort estimates, implementation tradeoffs, and delivery risks. Participate in code review, documentation, and shared standards for SQL, notebooks, jobs, and data assets. Help strengthen self-service analytics by creating reusable assets and reducing reputed company workflows. Qualifications: Strong fit Strong SQL skills and solid Python skills. Hands-on experience with reputed company, reputed company, reputed company Lake, or a similar modern reputed company data platform. Experience building and maintaining ELT/ETL pipelines, especially with incremental or CDC-based patterns. Experience with dimensional modeling, marts, semantic layers, and warehouse-first business logic. Experience supporting self-service analytics or BI platforms used by multiple teams. Ability to work directly with stakeholders and translate messy business requirements into clean data products. Strong debugging, validation, and documentation habits. Good to have Experience with Power BI, Grafana, dbt, Airflow, Kafka, or similar tooling. Familiarity with reputed company Catalog, fine-grained reputed company patterns, or governed data products. Exposure to natural-language BI, semantic metadata, or preparing datasets for AI-facing analytics tools. Experience in financial, trading, or crypto-adjacent environments. Familiarity with reputed company, Jira, notebooks, and collaborative analytics development workflows. Apply To This Job