of experience: 4 - 6 yrs. Cost variance use case build. Data Science.
Spring Framework, AWS, and other technologies to build scalable and secure applications. This role involves Angular, Java, Spring Framework, AWS, and more to build scalable and secure applications. Key Responsibilities: Postgres, IBM MQ, Apache Kafka, Apache Camel for building robust and scalable solutions. - Collaborate in MQ, Apache Kafka, Apache Camel. - Proficient in build tools like Maven, and testing frameworks such as
innovative IT solutions. Key responsibilities include building data pipelines, supporting business intelligence Intelligence. Proficiency in Python programming and building big data pipelines (ETL, SQL). Knowledge of Qlikview
virtualization infrastructure environment which includes building, install, configuring and maintaining Vmware products continuation / disaster recovery infrastructure planning, building, and testing of such efforts. Manage and report across managed services teams and participate to build a performance culture. Provide a level of project
Intelligence.
Proficiency in Python programming and building big data pipelines (ETL, SQL).
Knowledge
road map for the organization to follow.
ensure a road map for the organization to follow. Build the transition architecture to connect the current the Company's key stakeholders. Accountable for building a defined life cycle around reviewing the future
Experience with version control systems (e.g., Git) and build tools (e.g., Maven, Gradle). Excellent problem-solving Framework (MVC, Batch, Web, Data, Security). SonarQube. Build tools (Apache Ant, Maven, Jenkins, etc). Web Service(SOAP
EMR, etc.). Implement CI/CD pipelines with Code Build and Github Actions. Work on Terraform for infrastructure
What You'll Do: - Lead the development of an AI Building Platform on Azure. - Design, test, and deploy