Data & AI Engineer - Snowflake, SQL, Python, Cloud, Generative AI

Data & AI Engineer – Snowflake, Python, SQL, Cloud, Generative AI

Job Description:

Role: Data & AI Engineer / Developer

We are seeking a highly skilled Data & AI Engineer with expertise in Snowflake, SQL, Python, Cloud Technologies, and AI-powered development tools. The ideal candidate will have hands-on experience designing and implementing scalable data solutions, developing data pipelines, and leveraging modern AI platforms such as Claude and Microsoft Copilot to enhance productivity, automation, and business outcomes.

Key Responsibilities

• Design, develop, and optimize data solutions using Snowflake as the primary cloud data platform

• Create and maintain complex SQL queries, stored procedures, views, and data models to support reporting and analytics needs

• Develop scalable data processing, automation, and integration solutions using Python

• Build and manage cloud-based data architectures, ensuring reliability, security, and performance

• Collaborate with business and technology teams to gather requirements and deliver data-driven solutions

• Utilize AI technologies, including Claude and Microsoft Copilot, to accelerate development, automate workflows, improve code quality, and enhance knowledge management

• Implement best practices for data governance, data quality, security, and performance optimization

• Troubleshoot and resolve data-related issues while continuously improving existing processes and solutions

• Stay current with emerging cloud, data engineering, and AI technologies to drive innovation and operational efficiency

Required Skills & Experience

• Strong experience with Snowflake Data Warehouse and related data engineering concepts

• Advanced proficiency in SQL for data extraction, transformation, optimization, and analysis

• Strong programming skills in Python for data processing, automation, scripting, and API integrations

• Experience working with Cloud Platforms such as AWS, Azure, or Google Cloud

• Knowledge of AI/Generative AI technologies and practical experience using tools such as Claude and Microsoft Copilot

• Understanding of data warehousing, ETL/ELT processes, data modeling, and analytics solutions

• Strong analytical, problem-solving, and communication skills

• Experience working in Agile development environments is preferred

Preferred Qualifications

• Experience integrating AI capabilities into business or data engineering workflows

• Familiarity with machine learning, LLMs, prompt engineering, or AI-assisted software development

• Relevant certifications in Snowflake, Cloud Platforms, or AI technologies are a plus

Role Summary

The position requires a technology professional who can combine strong data engineering expertise with modern AI-enabled development practices to deliver scalable, secure, and innovative data solutions that drive business value.