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Experience Level
Senior
Qualifications
Responsibilities:Design, build, and maintain ETL/ELT pipelines that fuel Wrisk's data systems and customer applications. Develop and uphold our data platform architecture and infrastructure, including data pipelines and warehouses that enhance analytics and reporting. Implement effective data modeling, schema design, and contracts to simplify data access. Establish and maintain data observability, quality checks, and automated testing for production data flows. Drive impactful improvements in data workflows, service reliability, and accessibility. Collaborate with product managers and cross-functional teams to translate market signals and customer needs into innovative, data-driven solutions. Innovate new systems and enhance existing ones, focusing on performance, reliability, and efficiency. Analyze transactional datasets to validate data models, address quality issues, and suggest engineering solutions. Optimize data processing and storage performance and costs across cloud platforms. Communicate technical insights and recommendations effectively to all stakeholders. Stay updated on industry advancements, new technologies, and best practices in data engineering.
About the job
As a Senior Data Engineer at Wrisk, you'll be an integral part of our dynamic Data Science & Engineering team, empowering our clients to leverage transactional intelligence for more informed financial decisions and innovative product development. Your expertise will be crucial in crafting and delivering scalable, production-ready analytical solutions that transform intricate data into actionable insights.
In this role, you will take ownership of optimizing the systems responsible for ingesting, transforming, and serving extensive transactional data sets. Your responsibilities will include designing resilient data pipelines, implementing robust data models, deploying both real-time and batch processing systems, and ensuring data integrity through observability, testing, and automation. Collaborating closely with the data science and product teams, you will align with customer requirements and internal strategies to produce quantifiable outcomes in data engineering.
We seek a passionate technology enthusiast who is inquisitive about data infrastructure and eager to tackle real-world challenges. A solid foundation in data engineering, a creative approach to problem-solving, and clear communication skills with both technical and non-technical stakeholders are essential. You will receive ongoing training and development opportunities to enhance your skills and stay ahead in this rapidly evolving industry.
About Wrisk
Wrisk is a forward-thinking company dedicated to harnessing the power of data to revolutionize the insurance industry. Our innovative approach allows clients to make smarter decisions and create products that truly meet customer needs.
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