Big Data Developer

Job Description

Role & responsibilities - Role- Big Data (Spark) Developer Experience Range- 5-9 years Skills/Knowledge required -Framework: Apache Spark Languages: Java / Scala DB Layer: MongoDB, MySQL Testing: Scala Test Build & Deployment: AWS CDK, Code Build/Deploy Cloud Env: AWS Cloud and Services Good-to-have skill (Not mandatory) Backend: Java, Spring Boot and Micro Services Code Analysis tools: SonarQube Roles & Responsibilities 6-9 years development experience Minimum 3 year of experience in agile development Requirement understanding & data gathering conferring with business users/product owners Understanding application architecture & design Evaluating & proposing multiple solutions for the given requirement Development & unit test of new features, changes requests Thorough understanding of design principles and patterns Implements best coding practices (e.g. clean code) Can write reusable functions, objects Ensures proper error & exception handling, memory management Experience in building scalable applications on different technologies & platforms Understands application security, common attack vectors and how to code defensively Experience in using CI/CD tools, can set up a build & deployment tool Understanding of a continuous integration tool etc to automate the build and test process. Knows the branching & Merging strategies, setting up repositories, etc. Good knowledge of editors, debuggers, IDEs Ability to prioritize the work as per the project needs Should be able to handle the tasks independently Should be able to handle Operational activities along with regular Development. Preferred candidate profile : Good-to-have skill (Not mandatory) Backend: Java, Spring Boot and Micro Services Code Analysis tools: SonarQube Roles & Responsibilities 6-9 years development experience Minimum 3 year of experience in agile development Requirement understanding & data gathering conferring with business users/product owners Understanding application architecture & design.