Data Platform Engineer Reflow
ReFlow
Design scalable data warehouses and ETL pipelines for Reflow, a workforce and workflow intelligence platform. Part-time or full-time arrangements are available.As a data platform engineer, you will build systems supporting analytics, workflow insights, and economic modeling. You will work with SQL, data modeling, cloud-based data operations, and ingestion frameworks. The work includes systems that make Reflow data usable, fast, and insightful.Key Responsibilities:
Design and maintain scalable data warehousesDevelop ETL pipelines from APIs and internal systemsModel datasets for analytics and product featuresBuild dashboards using Metabase, Tableau, or Power BIImplement event-based pipelines for real-time reportingRequirements:
Experience with warehouse architecture and analytics infrastructureStrong SQL and data modeling skillsHands-on ETL and data ingestion experienceUnderstanding of cost, scalability, and complexity tradeoffsCuriosity about data-driven insights and automationBuild Reflow’s intelligence layer through scalable warehouses, optimized pipelines, reliable data, and analytics-focused engineering.
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Design and maintain scalable data warehousesDevelop ETL pipelines from APIs and internal systemsModel datasets for analytics and product featuresBuild dashboards using Metabase, Tableau, or Power BIImplement event-based pipelines for real-time reportingRequirements:
Experience with warehouse architecture and analytics infrastructureStrong SQL and data modeling skillsHands-on ETL and data ingestion experienceUnderstanding of cost, scalability, and complexity tradeoffsCuriosity about data-driven insights and automationBuild Reflow’s intelligence layer through scalable warehouses, optimized pipelines, reliable data, and analytics-focused engineering.
#J-18808-Ljbffr
Vacancy posted 36 minutes ago
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