Salesforce Data Cloud Developer

HI,

I have an open role with my client mention below, let me know if you are interested with your Updated resume.

Position:- Salesforce Data Cloud Developer

Location:- Remote

Role Descriptions

5 years in data integration data platform engineering enterprise CRM data architecture (or equivalent).

At least 1 enterprise implementation of Salesforce Data Cloud (Data 360) in production| with hands-on configuration and delivery experience (not only advisory).

Proven delivery of end-to-end integration between Azure Databricks and Salesforce Data Cloud| including Databricks connector setup in Data CloudData Streams creation and deployment for ingestion Zero-copy federation use case implementation (see below)Identity Resolution configuration and tuning Activation data push to Salesforce CRM org Required Salesforce Data Cloud and Salesforce development

Skills:-

Enable and configure Data Cloud features| objects| and permissions (Data Cloud Setup| Data Spaces| roles permission sets).

• Create and manage Data Streams and understand how they generate Data Lake Objects (DLOs) that can be mapped to the Customer 360 data model.
• Understand Databricks connector options available for Data In (Batch Zero Copy) and when to use each. The candidate demonstrates proficiency in key Salesforce development areas| with extensive knowledge and practical experience in Lightning Flow| Apex| JavaScript| and Lightning Web Components (LWC).
• Lightning Flow Skilled in designing and implementing process automation and workflows using Salesforce Lightning Flow| enabling streamlined business processes and enhanced user experience.
• Apex Possesses in-depth expertise in Apex| Salesforces proprietary programming language| for developing custom logic| triggers| and integrations that extend platform functionality.
• JavaScript Experienced in utilizing JavaScript to create interactive components and enhance the responsiveness of Salesforce applications.
• Lightning Web Components (LWC) Adept at developing modern| reusable| and efficient user interface components using LWC| resulting in scalable and maintainable Salesforce solutions.

Essential Skills:

• 5 years in data integration data platform engineering enterprise CRM data architecture (or equivalent).
• At least 1 enterprise implementation of Salesforce Data Cloud (Data 360) in production| with hands-on configuration and delivery experience (not only advisory).
• Proven delivery of end-to-end integration between Azure Databricks and Salesforce Data Cloud| includingDatabricks connector setup in Data CloudData Streams creation and deployment for ingestionZero-copy federation use case implementation (see below)Identity Resolution configuration and tuningActivation data push to Salesforce CRM org