Cowbell is signaling a new era in cyber insurance by harnessing technology and data to provide small and medium-sized enterprises (SMEs) with advanced warning of cyber risk exposures bundled with cyber insurance coverage adaptable to the threats of today and tomorrow. Championing adaptive insurance, Cowbell follows policyholders’ cyber risk exposures as they evolve through continuous risk assessment and continuous underwriting. In its unique AI-based approach to risk selection and pricing, Cowbell’s underwriting platform, powered by Cowbell Factors, compresses the insurance process from submission to issue to less than 5 minutes.
Founded in 2019, Cowbell is based in the San Francisco Bay Area with employees across the U.S., Canada, and the U.K. and is backed by over 15 A.M. Best A- or higher rated reinsurance partners.
In support of our rapid growth, we are actively looking for ambitious people, who are not afraid of hard-work and never shy away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist beyond the boundaries of possibilities.Join our team and be part of a growing institution where you can hone your skills and develop new ones in a fun, challenging and dynamic environment.
If that sounds like you, we want to hear from you!
Job Location: Balewadi, Amar Tech Park , Pune
Interview Process: HR Screening call / Online Technical Assessment via Codility/ L1 Technical Round / L2 Hiring Manager OR Leadership Round.
What you will do:
Partner with data scientists and business stakeholders to understand data needs and help build data products that scale across the company
Drive the collection of new data from first-party and third party data sources via APIs and the refinement of existing data sources.
Enhance Cowbell Connector platform in terms of adding new functionality, usability and observability.
Implement tools for monitoring and ensuring data quality and consistency
Collaborate with Architects and Lead Engineers to implement and maintain the standards and consistency for the data-pipelines and best practices
Experience in Continuous Integration, Delivery, and Deployment software tools to support, enhance, and grow our CI and CD capabilities
Experience in containerization using Docker and Kubernetes.
Develop and maintain effective working relationship with data suppliers
What Cowbell needs from you:
Solid experience in data ingestion and integration by consuming third-party APIs.
Proficient in one or more programming languages such as Java, Python etc. and rock-solid SQL skills
Experience implementing a data lake architecture and/or enterprise data solutions.
Experience with Data Warehousing solutions such as Snowflake, Redshift or similar solutions
Preferred qualifications:
10+ years of experience in Data Engineering, 4 of which specific use of Python
Bachelor’s or Master’s Degree in Computer Science, Information Systems, or other related field
Experience building large scale distributed data systems
Experience working with AWS/GCP/Azure big data technologies
Experience with distributed computing technologies like Apache Kafka, Spark etc.
Knowledge in Data Modeling, ETL development, and data warehousing
Knowledge of database and software engineering best practices across the development lifecycle including
Strong communication skills and experienced in gathering requirement
This is a hybrid role. 3 days in Office.
Winner of Inc. Magazine’s Annual List of Best Workplaces for 2022
Nationwide medical, dental and vision coverage plus life insurance, long term disability and flexible spending accounts
Employee equity plan for all and wealth enablement plan for select customer facing roles
Comprehensive wellness program including unlimited PTO, company-wide wellness days, wellness app subscriptions, lunch & learn, book club, get-togethers, lunch & communication stipends, happy hours and much more
Professional development and the opportunity to learn the ins and outs of cyber insurance, cyber security as well as continuing to build your professional skills in a team environment