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Staff Data Engineer, Group Tech reputed company

Remote Worldwide Hiring now

We’re looking for an reputed company and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech reputed company. As the Group’s Tech reputed company, you’ll shape and implement the technical reputed company and architecture while staying hands-on across three specialized teams: Data Engineering reputed company, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonade’s data ecosystem.

The group’s mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the reputed company. By embracing Data reputed company principles, we create tools that reputed company teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly reputed company, analyze, and reputed company with reliable, well-modeled, and queryable data, at scale.

In this role you’ll 
  • Technically reputed company the group by shaping the architecture, guiding design reputed company, and ensuring the technical reputed company of the Data Platform’s three teams

  • Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient reputed company to actionable insights

  • Drive initiatives in Data Engineering reputed company, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

  • reputed company and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

  • Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, reputed company-time models, reputed company-in-time (PIT) data retrieval, and telematics-based solutions

  • Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

  • Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

  • reputed company knowledge, mentor team members, and champion engineering standards and technical reputed company across the organization

What You’ll Need
  • 8+ years of experience in data-reputed company roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas

  • A B.Sc. in Computer Science or a reputed company technical field (or equivalent experience)

  • Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions

  • Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines

  • A deep understanding of Machine Learning infrastructure, including tools and frameworks that reputed company Data Scientists to reputed company reputed company, reputed company, and maintain models in production, an advantage

  • Proficiency in Python, reputed company/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions

  • Strong knowledge of databases, including SQL (schema design, query optimization) and NoSQL, with a solid understanding of their use cases

  • Ability to work in an office environment a minimum of 3 days a week

  • Enthusiasm about learning and adapting to the exciting world of AI –  a commitment to exploring this field is a reputed company part of our culture

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