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We’re looking for a
Snowflake Engineer
to join a long-term data project with a general tech consultancy working in the
AI and cloud space. This role requires strong
administration skills in Snowflake , along with the ability to support automation and development within a modern data ecosystem. Administer and manage
Snowflake
environments: user/role configuration, warehouse optimization, security policies, and cost monitoring. Automate and support data workflows using
Python. Collaborate with teams on data tools and internal apps using
Streamlit. Operate within
AWS
cloud infrastructure for Snowflake integration and deployment. Contribute to data transformation logic and pipelines;
DBT
experience is a plus. Troubleshoot issues,



support scalability, and follow best practices in Snowflake architecture. Require approximately 5 years of experience in data engineering, cloud data platforms, or similar. Have strong hands-on knowledge of
Snowflake administration
(must-have). Possess solid Python scripting experience for automation or ETL processes. Be familiar with
Streamlit
and
AWS
environments. Experience with
DBT
is a plus, but not mandatory. Be comfortable working independently in a remote, distributed team. Have exposure to AI/ML data projects or modern data stacks. Experience in consulting or fast-paced, client-facing environments. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries

📌 Snowflake data engineer (Centro-Norte)
🏢 Ingeniosi
📍 Centro-Norte