Senior Data Engineer with AI/ML Focus

Core Responsibilities1. 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 frameworks2. 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 datasets3. AI/ML Data Preparation- Data preprocessing and normalization for LLM consumption- Create training datasets for recommendation model improvement- Implement data versioning for model reproducibility4. Performance OptimizationQuery optimization for large-scale data aggregationCaching strategies for frequently accessed recommendation dataScalability planning for growing data volumesRequired Technical SkillsCore Data Engineering (Must-Have)SQL Expertise: Advanced Oracle query optimization, complex joins, window functionsETL/ELT Tools: Informatica or similarProgramming: Python basics, SQL, basic understanding of JavaAI/ML Data Specialization (Important)Feature Engineering: Experience with recommendation systems, time-series analysisData Preprocessing: Normalization, encoding, handling missing data for ML modelsVector Databases: Experience with embedding storage and retrievalLLM Data Preparation: Understanding of context windows, token optimization, prompt engineering data needsCRM/Business Systems (Important)- CRM Platforms: SugarCRM, Salesforce, or similar enterprise CRM systems- Data Governance: Understanding of data privacy, security, and compliance requirementsDiverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.