Senior Data Engineer with AI/ML Focus

Job Description Core Responsibilities Data Architecture & Pipeline Design Identify good data set and data candidates for building AI based recommendation engine Design denormalized data structures optimized for LLM consumption Aggregate data from multiple CRM modules/tables into one for LLM consumption Implement data quality monitoring and validation frameworks CRM Data Expertise Analyze complex CRM schemas (Accounts, Opportunities, Notes, Order History, Account Actuals) Understand business relationships between entities and their impact on recommendations Map data lineage from source systems to AI-ready datasets AI/ML Data Preparation Data preprocessing and normalization for LLM consumption Create training datasets for recommendation model improvement Implement data versioning for model reproducibility Performance Optimization Query optimization for large-scale data aggregation Caching strategies for frequently accessed recommendation data Scalability planning for growing data volumes Required Technical Skills Core Data Engineering (Must-Have) SQL Expertise: Advanced Oracle query optimization, complex joins, window functions ETL/ELT Tools: Informatica or similar Programming: Python basics, SQL, basic understanding of Java AI/ML Data Specialization (Important) Feature Engineering: Experience with recommendation systems, time-series analysis Data Preprocessing: Normalization, encoding, handling missing data for ML models Vector Databases: Experience with embedding storage and retrieval LLM Data Preparation: Understanding of context windows, token optimization, prompt engineering data needs CRM/Business Systems (Important) CRM Platforms: SugarCRM, Salesforce, or similar enterprise CRM systems Data Governance: Understanding of data privacy, security, and compliance requirements Prior Apple Experience Would Be Preferred. Salary Range: $90,000-$125,000 a year Qualifications

BACHELOR OF TECHNOLOGY