Title Database Engineer Prismberry
Prismberry
Office Location
Full Time
Experience: 2 - 2 years required
Pay:
Salary Information not included
Type: Full Time
Location: Noida
Skills: Prototype, indexing, Performance monitoring, tuning, Debugging, Refactoring, Agile, Technical documentation, written communication, Verbal communication, aws, GCP, algorithm, logic building, mssql, EntityRelationship concept, normalizationdenormalization, optimized code, Reusable code, scalable code, SQL queries optimization, Security Solutions, data protection solutions, RESTful API, Microservice environment, Unit test cases, integration test cases, Azure Cloud, cloud products development
About Prismberry
Job Description
You should have a strong algorithm and logic building capability along with the ability to prototype rapidly. You must be fluent in MSSQL and have a deep understanding of Entity-Relationship concepts, Normalization/Denormalization, indexing, and performance monitoring and tuning. Your role will involve writing optimized, effective, reusable, and scalable code, analyzing existing SQL queries for performance improvements, and testing and debugging with refactoring capabilities. Implementing security and data protection solutions, knowledge in RESTful API and microservice environment, understanding of AGILE, and creating technical documentation are also key responsibilities. Additionally, you should possess soft skills to work in a team environment and excel in a startup environment with a high level of ownership and commitment. Writing unit and integration test cases is also expected. As for the qualifications, you should hold a Bachelors degree in EE, CS, ME, or equivalent, with a minimum of 2+ years of experience. Demonstrated strong written and verbal communication skills are necessary. Hands-on experience with MSSQL is a must, along with experience in one of AWS, GCP, Azure Cloud. Some understanding of building scalable and reliable products in the cloud, ability to prioritize end-to-end, debug, and develop modular code, and thinking outside the box to discover innovative solutions for complex data management issues are also required.,