Snowflake AI/ML Data Modeler

4 weeks ago

Spring, United States ExecutivePlacements.com Full time

Job #3010839 Contract Type: 12‑month contract Location: Spring, Texas Schedule: 5 days a week onsite Responsibilities Collaborate with data modelers to prepare and optimize datasets for AI model training and inference. Design and implement data pipelines that support AI/ML workflows, including feature engineering and model monitoring. Integrate AI‑powered analytics and predictive models into business intelligence tools such as Power BI. Evaluate and implement AI services (Azure Cognitive Services, OpenAI, or custom ML models) to enhance data products and user experiences. Required Skills & Experience SQL, DBT, Azure Data Factory (ADF), DAX, Power BI, Snowflake. Experience integrating AI/ML models into data pipelines and analytics platforms. Hands‑on experience designing and implementing complex data models (normalization, denormalization, star/snowflake schemas). Experience developing and optimizing EL (Extract‑and‑Load) processes using ADF. Experience developing and optimizing DBT models, including data testing. Understanding of data warehousing concepts and best practices, particularly with Snowflake. Experience with Azure cloud platform, especially data storage, integration, processing, and AI services. Proficiency in SQL and DAX; familiarity with Python or R for AI/ML tasks is a plus. Experience creating interactive visualizations in Power BI, including semantic models. Experience training and developing AI‑powered analytics and functionality. Top 3 Skill Sets Modeling Business Intelligence Enterprise Engineering Additional Qualifications Relevant Certifications: PL‑300 (Power BI Data Analyst Associate), DP‑203 (Azure Data Engineer Associate), SnowPro Core, SnowPro Advanced (Data Analyst & Data Engineer), AI‑102 (Azure AI Solution), Microsoft Certified: Azure AI Engineer Associate. Equal Opportunity Employer Apex Systems is an equal‑opportunity employer. We do not discriminate based on any protected characteristic in compliance with applicable law. #J-18808-Ljbffr

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