Salesforce Analytics Engineer at Salt South Africa

Key Responsibilities:

• Feature Store Development: Design and maintain features in AWS feature stores for data-driven models.
• Data Integration: Oversee data integration between AWS and Salesforce, ensuring smooth pipelines.
• Salesforce Expertise: Build data solutions using Salesforce Marketing Cloud, CRM, FSC, and Data Cloud.
• Model Building: Develop segmentation models in Salesforce to optimize customer engagement.
• Code Development: Automate data workflows using Python and SQL across AWS and Salesforce.
• Collaboration: Partner with cross-functional teams to align business objectives with technical solutions.
• Data Management: Ensure data quality, governance, and compliance within the organization’s architecture.
• Automation: Enhance data workflow automation between AWS and Salesforce.

Required Qualifications:

• Feature Stores: Experience building and managing AWS feature stores.
• Salesforce Expertise: Proficient in Salesforce Marketing Cloud, CRM, and Data Cloud.
• Technical Skills: Python, SQL, AWS (S3, Redshift, Glue, SageMaker).
• Modeling: Experience building segmentation models within Salesforce.
• Data Integration: Expertise in AWS-Salesforce integration and data pipelines.

Preferred Qualifications:

• AWS and Salesforce certifications.
• Familiarity with Salesforce Datorama and Einstein Analytics.
• Data Analytics qualification.
• AI/ML experience.

Experience: 

• 5+ years (Intermediate to Senior)