Data & AI Engineer

We are looking for a skilled Data & AI Engineer with strong experience in Snowflake, SQL, Python, Cloud Technologies, and Generative AI tools. The candidate will design and develop scalable data solutions, build data pipelines, and leverage AI tools such as Claude and Microsoft Copilot to improve development, automation, and business processes.

Key Responsibilities

• Design, develop, and optimize data solutions using Snowflake.
• Develop complex SQL queries, stored procedures, views, and data models.
• Build scalable data processing, automation, and integration solutions using Python.
• Develop and maintain cloud-based data architectures with a focus on security, reliability, and performance.
• Build and support ETL/ELT pipelines and data integration processes.
• Collaborate with business and technology teams to gather requirements and deliver data solutions.
• Use Claude, Microsoft Copilot, and other AI tools to accelerate development, automation, and improve code quality.
• Implement data governance, data quality, security, and performance best practices.
• Troubleshoot data issues and continuously improve existing solutions.
• Stay current with emerging data engineering, cloud, and AI technologies.

Required Skills

• Strong experience with Snowflake Data Warehouse.
• Advanced SQL skills.
• Strong Python programming and scripting experience.
• Experience with AWS, Azure, or Google Cloud.
• Strong understanding of Data Warehousing, ETL/ELT, Data Modeling, and Analytics.
• Knowledge of Generative AI, LLMs, and AI-assisted development tools.
• Hands-on experience with tools such as Claude and Microsoft Copilot.
• Strong analytical, problem-solving, and communication skills.
• Experience working in an Agile environment is preferred.

Good to Have

• Experience integrating AI capabilities into data engineering or business workflows.
• Knowledge of Machine Learning, LLMs, and Prompt Engineering.
• Snowflake, Cloud, or AI-related certifications are an asset.