Salesforce Adaptive Analytics Engineer
Amazon.com, Inc.
Dallas, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 157KJob location
Remote
Dallas, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Azure
Big Data
Cloud Computing
Information Systems
Customer Data Management
Data Integration
ETL
JSON
Python
Machine Learning
Performance Tuning
Recommender Systems
Cloud Services
Standard Sql
Salesforce
SQL Databases
Tableau
XML
Enterprise Data Management
Salesforce Sales Cloud
Build Management
Data Lake
PySpark
Information Technology
Data Analytics
Salesforce Object Query Language (SOQL)
Cloud Integration
REST
Stream Analytics
Data Pipelines
Databricks
Job description
- 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.
Requirements
Salesforce Technologies
- Salesforce CRM
- Sales Cloud
- Service Cloud
- Salesforce Data Cloud
- SOQL
- Salesforce APIs
- CRM Analytics / Tableau CRM
Data Engineering & Analytics
- Databricks
- PySpark
- SQL
- Python
- ETL/ELT pipeline development
- Delta Lake
- Data modeling
Cloud & Integration
- Azure or AWS
- REST APIs
- JSON/XML
- Data integration frameworks
AI / Adaptive Analytics
- Predictive analytics
- Machine learning fundamentals
- Customer segmentation
- AI-driven personalization
- Recommendation systems
- Real-time analytics
Qualification:
- Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
Benefits & conditions
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$137,000-157,000 per year Who is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams …
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1 month ago
About the company
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.