Salesforce Adaptive Analytics Engineer
Full-time
Artmac Soft LLC
Who we are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description:
Job Title : Salesforce Adaptive Analytics Engineer
Job Type : W2/C2C
Experience : 7-15 Years
Location : Dallas Texas (Hybrid)
Responsibilities:
- 7 years of experience with Salesforce and enterprise data platforms.
- Hands-on experience with Databricks and big data technologies.
- Experience building AI-enabled analytics solutions.
- Knowledge of customer data platforms (CDP) and Customer 360 concepts.
- Salesforce certifications are a plus.
- Databricks certifications are a plus.
- Design and build scalable data pipelines integrating Salesforce data with Databricks and cloud platforms.
- Develop adaptive analytics solutions for customer behavior analysis forecasting and AI-driven insights.
- Work with Salesforce Sales Cloud Service Cloud Data Cloud and related CRM systems.
- Build and optimize ETL/ELT workflows using Databricks PySpark SQL and Python.
- Create customer 360 views and unified business intelligence dashboards.
- Develop predictive models and intelligent automation workflows using AI/ML technologies.
- Integrate Salesforce with third-party enterprise systems using REST APIs and connectors.
- Collaborate with business teams analysts architects and stakeholders to understand analytics requirements.
- Ensure data quality governance security and performance optimization across platforms.
- Support real-time and batch analytics processing for enterprise-scale datasets.
- Troubleshoot and optimize analytics workflows and data integration processes.
- Document technical architecture workflows and implementation processes.
Required Skills:
Salesforce Technologies
- Salesforce CRM
- Sales Cloud
- Service Cloud
- Salesforce Data Cloud
- SOQL
- Salesforce APIs
- CRM Analytics / Tableau CRM
- Databricks
- PySpark
- SQL
- Python
- ETL/ELT pipeline development
- Delta Lake
- Data modeling
- Azure or AWS
- REST APIs
- JSON/XML
- Data integration frameworks
- Predictive analytics
- Machine learning fundamentals
- Customer segmentation
- AI-driven personalization
- Recommendation systems
- Real-time analytics
Qualification:
- Bachelors degree in Computer Science Information Systems Data Science or related field.
Vacancy posted 13 days ago
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