AI/ML Engineer - R01570580
Spotted 40d ago
Job details
- Work mode
- Hybrid
- Education
- Bachelor's degree
- Posted
- Sep 11, 2026
- Last confirmed open
- Oct 28, 2026
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Job description
About this role
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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