Source description
About the role
Key Responsibilities Partner with a cross-vendor team of platform & product owners, technical experts, & other specialists to build and deliver integration solutions for Data Products, in order to optimize upon investments and aligning integrations against findability, accessibility, interoperability and re-usability goals Partner with the Director of Integration Products to craft an integration strategy, with a focus on Data & Analytics use cases, to address immediate challenges, simplify integration landscape, utilize common patterns and standard technologies Implement best practices around systems integration, security, performance and data management Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality Implement hybrid integration solutions addressing data and application integration needs, and cloud-to-cloud, cloud-to-on-premise, and on-premise-to-on-premise scenarios Continuously search for ways to eliminate redundancies & inefficiencies while streamlining costs to reinvest in new innovations through technology lifecycle management & total cost of ownership What We Are Looking For Required Qualifications Bachelors degree in engineering, computer science, or related field. 3-5 years of total work experience, with at least 1-2 years of experience in APIs and Event-Driven Architectures Hands-on Python programming skills Experience with Microsoft Azure or AWS and data management tools such as Azure Data factory, Data Lake, Synapse, Databricks and Snowflake Understanding of cloud architecture principles and best practices Experience in the design and build of end-to-end solutions that meet business requirements and adhere to scalability, reliability, and security standards Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines Desired Qualifications Experience with APIs and Event-Driven Integrations with experience in Azure architecture design is preferred Good understanding of migration and modernization strategies and approaches is preferred Experience in the architecture and design of services using Azure architecture is a plus Experience with IoT integrations is a plus Experience with Kong API gateway, Kafka, and/or Python FastAPI is preferred
More at Kenvue