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We’re looking for a

Snowflake Engineer

to join a long-term data project with a integral 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 levelEmployment type

Full-timeJob function

Information TechnologyIndustries

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📌 Snowflake Data Engineer (Ciudad de México)
🏢 Ingeniosi
📍 Ciudad de México