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About the role
AI/Data Engineer Snowflake, DBT, Python Focus We are seeking a highly motivated AI/Data Engineer with strong expertise in Snowflake, DBT, and Python to design, build, and scale modern data platforms that enable advanced analytics and AI-driven use cases. This role is ideal for a candidate with a strong data engineering foundation who can support AI initiatives, rather than a purely research-focused AI profile. Basic exposure to AI/ML concepts is sufficient. Key Responsibilities Design, build, and maintain scalable data platforms, pipelines, and data products to support analytics and AI use cases Develop robust and production-grade data workflows using Python, Snowflake, and DBT Build and optimize ELT/ETL pipelines for large-scale structured and unstructured datasets Leverage DBT for data transformation, modeling, testing, and documentation Optimize Snowflake architecture, performance, and cost efficiency for enterprise data workloads Develop and maintain data models, data marts, and semantic layers Support AI/ML initiatives by preparing high-quality datasets and enabling downstream model consumption Collaborate with Data Scientists and ML Engineers to operationalize basic AI/ML workflows Build APIs and backend services to expose data and AI capabilities Ensure high standards of data quality, governance, security, and scalability Required Skills & Experience 37 years of experience in Data Engineering, AI Engineering, or related roles Strong hands-on expertise in: Python (core requirement) Snowflake (core requirement) DBT (core requirement) Advanced SQL skills and strong understanding of data modeling and data architecture Proven experience building scalable ETL/ELT pipelines in cloud environments Experience working with modern data stacks and cloud platforms (AWS, Azure, or GCP) Strong experience in data transformation, data warehousing, and pipeline optimization Ability to work independently in a fast-paced, delivery-focused workplace AI / Machine Learning (Se .
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