Snowflake Data Engineer

Join a cutting-edge data team driving innovation at the intersection of data engineering and AI. We’re looking for a Snowflake Data Engineer with experience in Cortex AI and AWS, eager to build intelligent, scalable data solutions in a remote-first, international environment.

🛠️ Responsibilities:

1. Design, build, and maintain large-scale data pipelines, data warehouses, and data lakes on Snowflake.
2. Leverage Cortex AI and AWS services to deliver impactful insights and drive intelligent business decisions.
3. Build robust backend systems in Python, including Streamlit-based tools for internal use.
4. Develop and optimize ETL workflows and data processing pipelines.
5. Collaborate with cross-functional teams to define architecture and integrate data engineering solutions.
6. Use Docker, Kubernetes, and other DevOps tools to support scalable deployment.

✅ Required Skills:

1. 5+ years of experience as a Data Engineer.
2. Proven expertise in Snowflake data platform development.
3. Hands-on experience with Cortex AI and AWS cloud services.
4. Proficiency in Python and knowledge of Streamlit.
5. Experience with containerization (e.g., Docker, Kubernetes).
6. Familiarity with ETL workflows and modern data processing techniques.
7. Strong analytical and problem-solving skills.
8. Effective communicator and team player.

💡 Preferred Qualifications:

1. Experience working on Conversational AI or AI-driven projects.
2. Understanding of machine learning and AI concepts.
3. Exposure to data visualization tools like Tableau or Power BI.

This is a unique opportunity to work on impactful AI-powered data solutions in a supportive and tech-forward remote environment. If you’re driven by solving complex data challenges and scaling intelligent platforms, we’d love to hear from you!

Apply now and shape the future of data with Cortex AI.