Mulesoft Developer Job in Datanomist

Job Responsibilities

• Plan, develop, organize, build and test service and API integration services

• Research, develop and document technical design specifications and test scripts

• Build MuleSoft based API services based on JSON objects and data driven design

• Maintain a comprehensive library of technical terminology and documentation

Essential Skills

• Mule ESB (backend integration) and Mule API, Swagger.

• Proficient in MuleSoft AnyPoint API platform on designing and implementing Mule APIs by using API-Led Connectivity.

• Working experience in Routers, Transformers, Flow Controls, Connectors, Scopes, filters, Error/exception Handling in Mule and used Batch Processing in Mule and Implemented logging mechanism.

• Experienced in designing API s using RAML and developed RAML driven REST APIs with APIKit.

• Hands on with the set up /migration of mule to AWS / cloud to host etc.

• Hands on with Munit, Maven Environments.

• API gateway/ management (create and manage services)

• Create API in custom ways, apply Esb- (backend integration), create and manage services using API gateway/management solutions (products apigee, mule)

• Data transformation logic using DataWeave, Connecting to different Resources, Processing Records.

• Good working experience in Agile environment and Agile methodology implementations

• Experienced in using GIT,GITHUB and BITBUCKET for version control.

• Experience on Dev Ops (build and deploy)

• Knowledge in CI / CD tools like Jenkins, Maven build and GitHub during the development.

• Similar tools experience like Talend, Tibco, Informatica power centre, IBM data stage or any other ESB, ETL related work experience is added advantage.

• High level design and low level design (implementation, unit testing)

• Experienced in writing DataWeave, Java programming to handle message and transformations along with Custom knowledge of java, Java Script & spring.

• Worked as an Individual Contributor

• MCD certification holders will be given priority.

• Critical thinking, value judgment and common sense over process

• Positive attitude to learning new skills and technologies

• Proven track record leading and contributing to engineering teams, conveying objectives

and expectations with clarity to align to business goals involving an inclusive, knowledge sharing and feedback-oriented culture to nurture talent

Qualifications and Educational Requirements

• Masters or Bachelors in Computer Science or Computer Engineering

• Understanding of Meta Data, Reference Data Management, Data Quality, and Data Governance is plus