NoSQL Jobs
NoSQL, which stand for "not only SQL," is a database that provides a mechanism for storage and retrieval of data. It can accommodate a wide variety of data models, including document, graph stores such as Giraph and Neo4J, key-value like Redis and Riak, and wide-column. NoSQL is an alternative to relational databases or where data is modeled in tabular format.
NoSQL databases have become a preferred approach for a variety of reasons. Aside from its flexibility, its advantage also lies on its high scalability. NoSQL can handle huge amount of data since it supports automatic database partitioning, compared to SQL databases which need complex arrangements for sharding to be possible. It is also the preferred type for application that require multi-row transactions since SQL is table-based. NoSQL is also used when data is changing and growing over time and lacks structure.
Hire NoSQL ExpertsWe are looking for a Senior Backend Golang Engineer having 6+ years of experience. Having exposure on modern tools such as GraphQL, SQL, gin, gRPC.
We are looking for a full stack developer with experience with AWS SAM serverless framework to develop a solution utilising: * Angular frontend (hosted in S3 as a website) * NodeJS Lambda functions connected to the API Gateway * AWS Cognito * DynamoDB database * AustPost Digital iD * Pricefinder API * Unit testing The project will allow a user to signup and submit a request to a real estate agent, detailing what they are looking for and view responses. The solution includes the following: * User registration and email verification * Login * Forgot password functionality * Dashboard outlining their submitted requests * Create new requests -- Integration with AustPost Digitial iD for ID verification -- Integration with Pricefinder API for looking up realestate listings * View responses fro...
Looking for a Data Engineer from India for our Enterprise Client (INDIVIDUALS ONLY). Teams/Enterprises/Consultancies/Agencies please stay away. Project Duration: 3-6 months Location: Remote/WFH Hours Required: 40 hrs/week Responsibilities • Diverse Data Engineering activities using best of the breed commercial and in-house platforms both cloud and on-premise solutions • Build & Deliver Data pipeline connecting various enterprise data sources both RDBMS, NoSQL & APIs to process structured, semi-structured and unstructured data • Develop data mappings to existing data sources, Lead the data identification, data analysis efforts for data sources and work directly with data owner teams • Design and development of data extraction, data ingestion, data ...
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