The Role
Develop and optimize Snowflake data solutions using advanced SQL, stored procedures, transformations, and data warehousing techniques. Build AI-powered processing and analytics with Snowflake Cortex functions, including summarization, classification, extraction, sentiment analysis, embeddings, and semantic search. Manage structured and unstructured data, perform validation and quality checks, troubleshoot issues, optimize workloads, and collaborate with engineers, analysts, and business teams.
Summary Generated by Built In
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)
Skills Required
- 2 to 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
- Knowledge of data transformation techniques within Snowflake
- Ability to work with structured and unstructured data in Snowflake
- Experience implementing generative AI use cases such as semantic search or information extraction in Snowflake
- Familiarity with optimizing Snowflake workloads for analytics
- Knowledge of data security and governance in cloud data platforms
- Certification in Snowflake or cloud data engineering
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline
- Snowflake SnowPro Core Certification
- Relevant SQL certification, such as Microsoft Certified SQL Database Specialist
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
