Snowflake Data Engineer

Ingeniosi; México; A distancia; MXN 1.117.734 - 1.676.601; Jornada completa

Descripción de la vacante

Ingeniosi is seeking a Snowflake Engineer for a long-term data project with a global tech consultancy in the AI and cloud space. The ideal candidate will have strong Snowflake administration skills, experience in Python, and familiarity with AWS and Streamlit. This full-time position is designed for a mid-senior level professional comfortable working independently in a remote environment.

Formación

• Approximately 5 years of experience in data engineering or cloud data platforms.
• Strong hands-on knowledge of Snowflake administration is a must.
• Familiarity with AWS and Streamlit environments.

Responsabilidades

• Administer and manage Snowflake environments including user configurations and security policies.
• Automate and support data workflows using Python.
• Collaborate on data tools and internal applications.

Conocimientos

Snowflake administration

Python scripting

DBT

AWS

Streamlit

Descripción del empleo

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Account Executive & Talent Leader | Recruitment Specialist | Staff Augmentation Expert

We’re looking for a Snowflake Engineer to join a long-term data project with a global 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

• IT Services and IT Consulting and Business Consulting and Services

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