Snowflake Data Engineer-Cortex AI, Aws / azure

Skill set Snowflake, AWS, Cortex AI, Horizon Catalog or Snowflake, AWS, (Cortex AI or Horizon Catalog) or Snowflake, Azure, Cortex AI, Horizon Catalog Or Snowflake, Azure, (Cortex AI or Horizon Catalog) Preferred Qualifications: Bachelors degree in Computer Science, Data Engineering, or a related field. Experience in data engineering, with at least 3 years of experience working with Snowflake. Proven experience in Snowflake, Cortex AI/ Horizon Catalog focusing on data extraction, chatbot development, and Conversational AI. Strong proficiency in SQL, Python, and data modeling. Experience with data integration tools (e.g., Matillion, Talend, Informatica). Knowledge of cloud platforms such as AWS or Azure, or GCP. Excellent problem-solving skills, with a focus on data quality and performance optimization. Strong communication skills and the ability to work effectively in a cross-functional team. Proficiency in using DBT's testing and documentation features to ensure the accuracy and reliability of data transformations. Understanding of data lineage and metadata management concepts, and ability to track and document data transformations using DBT's lineage capabilities. Understanding of software engineering best practices and ability to apply these principles to DBT development, including version control, code reviews, and automated testing. Should have experience building data ingestion pipeline. Should have experience with Snowflake utilities such as SnowSQL, SnowPipe, bulk copy, Snowpark, tables, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs, Snowsight. Should have good experience in implementing CDC or SCD type 2 Proficiency in working with Airflow or other workflow management tools for scheduling and managing ETL jobs. Good to have experience in repository tools like Github/Gitlab, Azure repo