Data Engineer
hace 3 días
Logspend is a self-serve analytics platform for AI-native products. Our mission is to accelerate the transition to an AI-first world by enabling companies to create more value for their customers and end users through delightful AI-powered experiences.
We equip product teams with the superpowers to go beyond tracking explicit user actions to gleaning insights from unstructured user interaction and navigation data. Our platform simplifies complex data collection and reconciliation from multiple sources to ensure high-quality data at the source, automates insight extraction at scale, and provides full flexibility on how these insights are consumed and acted upon by product teams.
We've processed over 100M user interactions to date and serve several data-driven and AI companies. Our team is passionate about redefining what the future of data-driven organizations should look like in an AI-first world.
About the RoleWe are seeking a skilled and dedicated Data Engineer to join our energetic team. As a Data Engineer at Logspend, you will be instrumental in crafting and maintaining a scalable data processing infrastructure that underpins our AI-driven analytics platform.
You will work closely with our data scientists, product managers, and business teams to transform unstructured and event-based tracking data into actionable insights. Your expertise will guide the design, development, and maintenance of premier data products and infrastructure, ensuring the reliability and integrity of insights delivered to stakeholders.
Key Responsibilities- Data Infrastructure Development: Design, develop, and maintain premier data products and infrastructure, ensuring the reliability and integrity of insights delivered to stakeholders.
- Analytics Platform Management: Build and oversee comprehensive data analytics platforms, handling everything from raw data processing to the derivation of meaningful metrics and insights.
- Integration and Optimization: Collaborate with backend engineers to seamlessly integrate data sources and sinks, like BigQuery, optimizing for efficiency and minimal latency.
- Data Modeling: Implement adaptable data modeling techniques to provide instant, configurable insights, utilizing platforms such as ClickHouse and Druid for self-service analytics.
As a Data Engineer at Logspend, you will have the opportunity to work on a cutting-edge analytics platform, collaborate with a talented team, and contribute to the development of innovative data products. We offer a dynamic and supportive work environment, competitive compensation, and opportunities for growth and professional development.
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