Job Description
Job Description: • Focus on leveraging the Stars Data Ecosystem for Business Analytics for improved understanding of business patterns. • Predict future trends, and implement effective solutions to various challenges. • Manage and be responsible for the successful delivery of scalable analytics solutions on Snowflake. • Own end-to-end implementation: ingestion, unified data modeling, vectorization/embeddings, retrieval pipelines, Snowflake compute (Snowpark), and integration with LLM-driven applications.
• Create performant retrieval-augmented generation (RAG) architectures. • Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near-real-time and batch analytical workloads. Requirements: • Relevant experience in data analysis, machine learning, and business intelligence • Proficiency in statistical methods and software, such as R, SAS, and Python, to analyze data. • Ability to create compelling visualizations using tools like Tableau, Power BI, and D3.js. • Knowledge of SQL and NoSQL databases for efficient data storage and retrieval.
• Strong programming skills, particularly in languages such as Python, Java, and C++. • Advanced degrees (Master's or Ph.D.) in related fields highly desirable. Benefits: • Affordable medical plan options • 401(k) plan (including matching company contributions) • Employee stock purchase plan • No-bolthires programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
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