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Company

Egen

Address Canada
Employment type FULL_TIME
Salary
Expires 2023-09-13
Posted at 8 months ago
Job Description

Egen is a data engineering and cloud modernization firm helping industry-leading companies achieve digital breakthroughs and deliver for the future, today. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. An Inc. 5000 Fastest Growing Company 7 times, and recently recognized on the Crain’s Chicago Business Fast 50 list, Egen has also been recognized as a great place to work 3 times.


You will join a team of insatiably curious data engineers, software architects, and product experts who never settle for "good enough". Our Java Platform team's tech stack is based on Java8 (Spring Boot) and RESTful web services. We typically build and deploy applications as cloud-native Kubernetes microservices and integrate with scalable technologies such as Kafka in Docker container environments. Our developers work in an agile process to efficiently deliver high value data driven applications and product packages.


Required Experience:
  • Strong experience with unit and integration testing of the Spring Boot APIs.
  • Strong understanding of SQL databases and NoSQL databases and experience with writing abstraction layers to communicate with the databases.
  • Experience as a Team Lead/Pod Lead is a plus!
  • Strong understanding and production experience of RESTful API's and microservice architecture.
  • Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering or a related field.
  • End to end experience delivering production ready code with Java8, Spring Boot, Spring Data, and API libraries
  • Have experience working and strong understanding of object-oriented programing and cloud technologies
Nice to have's (but not required):
  • Cloud Environments: AWS, GCP or Azure
  • Strong understanding and production experience working with Docker container environments
  • Exposure to Kotlin or other JVM programming languages
  • Strong understanding and production experience working with Kafka