Title : Salesforce Developer Location : Remote Work (NYC) Duration : Contract Rate: $Best possible Qualification: Experience in designing and implementing SFDC cross-organization along with cross-instance integrations in support of multiple business process environments. Must have experience in Lightning framework (e.g., Aura, LWC) Broad experience with common SDLC tools/techniques (GitHub, branching, code review) Proven integration experience using integration techniques - REST, SOAP APIs, oAuth and Single Sign-On Experience in SalesforceDX and Experience with code modularization and ability to write complex software tooling. Experience with object-oriented programming languages (e.g., Java, Python). Knowledge of the CRM domain with relevance to the cloud industry and its sales channels.(Eg sales, service, experience clouds) Understanding of PaaS platform (i.e., Force Dot Com). Expert in Salesforce performance including best practices for Apex/trigger code and organization limits Experience in Agile methodology environment Experience with CI and CD tools like Autorabit, Github, bitbucket, Jenkins, ANT for deployments Understanding of Salesforce security controls Experience and ability to leverage APIs from various systems using a modern programming language like Python, Javascript, or shell scripting Experience with serverless (AWS Lambdas, Cloud Functions, Azure Functions, etc) Understanding of OWASP top 10 vulnerabilities and mitigation techniques General familiarity with Vue.js, JavaScript, Angular, and building single page apps Experience with Salesforce data loading tools, web services, middleware (e.g., Dell Boomi, Informatica, etc.) Super extra bonus points for managing large seed data sets in scratch orgs to provide immediate out-of-the-box productivity when creating a scratch org Android application development (both Native and Cordova apps) using the Salesforce Mobile SDK Technical knowledge and proficiency with SQL, SOSL and SOQL to perform data acquisition, segmentation, and aggregation from multifaceted large volume data sources
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