5-7 years of experience in data engineering or related field
Strong SQL skills, both basic and advanced
Familiarity with Snowflake data warehousing concepts
Basic understanding of Generative AI and LLM concepts
Hands-on experience with Snowflake Cortex AI Functions
Proficient in data transformation techniques and analytical functions
Bachelor's degree in Computer Science, IT, Engineering, or related field
Responsibilities
Develop complex SQL queries, joins, CTEs, views, and stored procedures in Snowflake
Leverage Snowflake Cortex AI Functions for data processing and analytics
Build AI-powered solutions using SQL for structured and unstructured data
Perform data validation, quality checks, and troubleshooting
Optimize SQL queries for performance and cost efficiency
Support the development of Generative AI use cases like summarization and classification
Collaborate with data engineers, analysts, and business teams to deliver solutions
Benefits
Flexible work environment
Opportunities for professional development
Access to cutting-edge technology and tools
Collaborative team culture
Health and wellness programs
Full Job Description
Senior Data Engineer Primary Skills
DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Job requirements
Role Overview We are looking for a Snowflake Cortex + SQL Developer with strong SQL fundamentals and an interest in Generative AI. The candidate will work on Snowflake data solutions and leverage Snowflake Cortex AI Functions to build AI-powered data processing and analytics use cases. Key Responsibilities Develop complex SQL queries, joins, CTEs, views, stored procedures and data transformations in Snowflake. Work with Snowflake Cortex AI Functions such as AI_COMPLETE, AI_CLASSIFY, AI_EXTRACT, AI_SENTIMENT, AI_EMBED and AI_SUMMARIZE_AGG. Build AI-powered data processing and analytics solutions using SQL. Work with structured and unstructured data within Snowflake. Perform data validation, quality checks and troubleshooting. Optimize SQL queries for performance and cost. Support development of GenAI use cases such as summarization, classification, information extraction and semantic search. Collaborate with data engineers, analysts and business teams to understand requirements and deliver solutions. Required Skills Strong knowledge of SQL. Good understanding of Snowflake concepts and data warehousing. Basic understanding of Generative AI / LLM concepts. Hands-on or academic exposure to Snowflake Cortex / Cortex AI Functions. Knowledge of data transformation, joins, CTEs and analytical functions. Good problem-solving and analytical skills. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
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