Snowflake Developer with AI/ML Integrations

Job Summary

We are seeking an experienced Snowflake Developer with AI/ML Integrations to design, implement, and maintain data warehousing solutions while integrating advanced artificial intelligence and machine learning capabilities. This role will play a critical part in enhancing our data architecture and enabling intelligent data-driven decision-making processes.

Responsibilities

• Develop and optimize Snowflake data pipelines to support robust data warehousing and analytics.
• Integrate AI/ML models into the Snowflake environment to facilitate advanced analytics and predictive insights.
• Collaborate with data scientists and engineering teams to ensure seamless integration of machine learning solutions with existing data platforms.
• Implement and monitor data quality and performance metrics to ensure system reliability and efficiency.
• Troubleshoot and resolve technical issues related to data integration, performance, and security.
• Document solutions and maintain best practices for data architecture and development.

Qualifications

• Strong experience in Snowflake development and architecture.
• Proficiency with SQL, ETL processes, and data warehousing concepts.
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and their integration within data environments.
• Hands-on experience with programming languages such as Python or R for data manipulation and model integration.
• Solid understanding of cloud platforms and data storage solutions.
• Ability to work collaboratively in a fast-paced, cross-functional team environment.
• Excellent problem-solving and troubleshooting skills.
• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field (or equivalent professional experience).

Preferred Skills

• Experience with cloud services such as AWS, Azure, or Google Cloud Platform.
• Knowledge of modern data visualization and business intelligence tools.
• Familiarity with CI/CD practices related to data solutions and version control systems.
• Exposure to advanced analytics and data science techniques beyond traditional machine learning.

Experience

• Proven track record in developing and managing Snowflake environments.
• Relevant experience integrating AI/ML components within large-scale data solutions.
• Demonstrated ability to work on complex data projects in agile or iterative development environments.

Environment

• This role offers a flexible working environment with opportunities for remote, in-office, or hybrid arrangements.
• You will be working as part of a dynamic, cross-functional team in a fast-paced technology-driven setting.