2-4 years of hands-on experience in Snowflake engineering and advanced SQL development
Advanced SQL skills including joins, CTEs, views, and stored procedures
Strong understanding of Snowflake architecture and data warehousing concepts
Experience with Snowflake Cortex AI Functions
Ability to work with structured and unstructured data in Snowflake
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
Snowflake SnowPro Core Certification preferred
Responsibilities
Develop complex SQL queries, joins, CTEs, views, stored procedures, and data transformations within Snowflake
Leverage Snowflake Cortex AI Functions to build AI-powered data processing and analytics solutions
Work with structured and unstructured data in Snowflake for efficient data management
Perform data validation, quality checks, and troubleshooting to maintain data integrity
Optimize SQL queries and Snowflake workloads for performance and cost efficiency
Support development of Generative AI use cases like summarization and semantic search
Collaborate with data engineers, analysts, and business teams to deliver tailored Snowflake solutions
Benefits
Opportunities for professional development and certifications
Collaborative work environment with cross-functional teams
Access to cutting-edge technology and tools
Involvement in innovative AI projects
Flexible work arrangements
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, PLSQL, T-SQL, Stored Procedures
Specialization
Snowflake Engineering: Data Engineer
Job requirements
Experience Range: 2 to 4 years of hands-on experience in Snowflake engineering and advanced SQL development Key Responsibilities: 1. Develop complex SQL queries, joins, common table expressions (CTEs), views, stored procedures, and data transformations within Snowflake 2. Leverage Snowflake Cortex AI Functions such as AI_COMPLETE, AI_CLASSIFY, AI_EXTRACT, AI_SENTIMENT, AI_EMBED, and AI_SUMMARIZE_AGG to build AI-powered data processing and analytics solutions 3. Work with structured and unstructured data in Snowflake, ensuring efficient data ingestion, transformation, and management 4. Perform rigorous data validation, quality checks, and troubleshooting to maintain data integrity and reliability 5. Optimize SQL queries and Snowflake workloads for enhanced performance and reduced cost 6. Support development and deployment of Generative AI use cases, including summarization, classification, information extraction, and semantic search 7. Collaborate with data engineers, analysts, and business teams to gather requirements and deliver tailored Snowflake solutions Required Skills: 1. Advanced SQL skills, including joins, CTEs, views, and stored procedures 2. Strong understanding of Snowflake architecture and data warehousing concepts 3. Experience with Snowflake Cortex AI Functions 4. Knowledge of data transformation techniques within Snowflake 5. Ability to work with structured and unstructured data in Snowflake Preferred Skills: 1. Experience implementing generative AI use cases such as semantic search or information extraction in Snowflake 2. Familiarity with optimizing Snowflake workloads for analytics 3. Knowledge of data security and governance in cloud data platforms 4. Certification in Snowflake or cloud data engineering Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline 2. Snowflake SnowPro Core Certification 3. Relevant certification in SQL (e.g., Microsoft Certified: SQL Database Specialist)
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