Employer description & source details
Relevant experience in data engineering, database development, or cloud data platforms. Strong hands-on experience with Snowflake architecture, data loading, SQL development, performance optimization, and security. Strong proficiency in advanced SQL, including complex joins, window functions, stored procedures, query profiling, and troubleshooting. Strong Python programming skills for data processing, automation, API integration, and error handling. Hands-on experience developing and maintaining data pipelines using Azure Data Factory or comparable integration tools. Practical experience with Snowflake Cortex AI, including Cortex Analyst, Cortex Search, and AI agent creation. Experience with Snowpark for data transformation, processing, and application integration. Strong understanding of ETL/ELT patterns, incremental loading, CDC, data validation, and data quality management. Experience designing and maintaining dimensional and relational data models, semantic views, and semantic models. Understanding of natural-language-to-SQL, semantic search, keyword search, embeddings, text chunking, and RAG concepts. Experience integrating Snowflake AI capabilities with enterprise applications through APIs and Python. Knowledge of Snowflake security and governance features, including RBAC, masking policies, row access policies, and auditing. Experience with Git, Azure DevOps, version control, and automated deployment practices. Strong analytical, troubleshooting, problem-solving, and communication skills. Ability to collaborate effectively with cross-functional teams and translate business requirements into scalable data and AI solutions. Experience mentoring junior engineers and following coding standards, documentation practices, and code review processes. Design, develop, and m
Extracted skills: python, sql, azure, security