Java + AWS JD:
Must have 8+ years applied experience with Java and some Python and Bash scripting
Must have worked on container technologies like Kubernetes
Must have Expertise in Spring and Spring Boot.
Must have worked on at least one messaging infrastructure like Kafka
Must be Proficient in Relational Database like Postgres/Oracle
Must have in depth knowledge on SQL.
Expert in maintaining and troubleshooting Incidents in production in an enterprise environment
Exposure to cloud technologies especially hands-on with AWS Glue, S3,Lambda,EKS etc .
Best fit if Person has Data Engineering Background especially used Apache Spark.
Experience in Splunk and analysing Splunk Logs.
Exposure to regression testing and TDD, JUnit, Mockito, Cucumber
Experience in using Github copilot for spec driven dev
Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
Experience in Spark and Airflow jobs dev and maintenance
Good to have knowledge on NOSQL Database like DynamoDB
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