E-Solutions

Snowflake Cortex Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Cortex Specialist, offering a remote contract position. Key requirements include strong Snowflake and AI/ML experience, expertise in data warehouse testing, proficiency in SQL and Python, and familiarity with cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 23, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Automation #Cloud #Data Architecture #Python #DevOps #Deployment #SQL (Structured Query Language) #AI (Artificial Intelligence) #EDW (Enterprise Data Warehouse) #Agile #GCP (Google Cloud Platform) #Visualization #Azure #Snowflake #Data Engineering #Data Lineage #Data Pipeline #ML (Machine Learning) #Data Management #Metadata #Snowpark #Data Quality #Regression #Data Warehouse #AWS (Amazon Web Services) #Data Governance
Role description
Job Title: Snowflake Cortex Specialist Remote Role Overview: We are seeking a highly skilled professional to design and implement AI-assisted testing solutions for our Enterprise Data Warehouse (EDW) environment. This role will focus on leveraging Snowflake Cortex capabilities to enhance data validation, regression testing, and automation for state implementations. Key Responsibilities: • Design and implement AI-driven testing frameworks for EDW systems using Snowflake Cortex • Develop automated test strategies for data quality, transformations, and performance validation. • Integrate AI models to detect anomalies, predict data issues, and optimize test coverage. • Collaborate with data engineering and QE teams to ensure seamless integration of AI-assisted testing tools. • Create reusable components for automated validation of large-scale data pipelines. • Monitor and continuously improve AI models for accuracy and efficiency in testing workflows. Required Skills & Experience: • Strong experience with Snowflake platform, including Snowflake Cortex and its AI/ML capabilities. • Expertise in data warehouse testing, ETL validation, and data quality frameworks. • AI implementation experience in E2E validation from Snowflake to PowerBI (Dashboard & Reports) for visualization, source to report data, & data refresh. • Proficiency in SQL, Python, and familiarity with Snowpark for AI/ML integration. • Hands-on experience with AI/ML model development and deployment in data testing scenarios. • Knowledge of data governance, metadata management, and data lineage concepts. • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data architecture. Preferred Qualifications: • Experience implementing AI-assisted QE solutions in large-scale data environments. • Understanding prompt engineering and LLM-based testing automation. • Exposure to CI/CD pipelines and DevOps practices for data testing. • Strong problem-solving skills and ability to work in an agile environment.