Data Scientist Premium I [USD] 4 DAYS ON SITE Data Source Analysis and Integration • Analyze existing data sources, including SharePoint Online (documents) and Databricks SQL Warehouse (structured data). • Design and implement methods for extracting and integrating data from these sources. b. Data Enrichment Layer Design • Develop techniques for text extraction, metadata standardization, and semantic enrichment. • Design a scalable enrichment layer to process and enhance data for downstream AI/ML use. c. Embedding Data Pipeline Development • Build and automate ETL/ELT pipelines for embedding data in Vertex AI. • Apply NLP and data processing techniques to ensure data is suitable for AI/ML models. d. Documentation and Collaboration • Prepare comprehensive technical documentation for all developed processes and pipelines. • Collaborate with AI/ML teams to ensure enriched data meets project requirements. 1. Skills/Experience Required • Bachelor's degree in computer science, data engineering, or related field with 3+ years of experience or Master's Degree in computer science, data engineering, or related field. • Proven experience in data engineering and enrichment, especially with unstructured and structured data. • Proficiency in Python, SQL, and cloud platforms (preferably GCP and Vertex AI). • Experience with NLP techniques and data processing frameworks. • Strong problem-solving, communication, and documentation skills.