About the Role :
We are looking for a versatile BI Developer with strong technical expertise across multiple domains, comfortable working within Agile methodologies. This role requires a professional adept at blending software engineering, dashboard development, and cutting-edge areas like AI and Cloud technologies.
What We Are Not Looking For :
Conversely, we are not looking for traditional data analysts whose primary focus or interest lies in building standard dashboards or conducting business analysis. The wrong fit for this role is a rigid specialist or a surface-level scripter who prefers to stay strictly within a single solution, requires hyper-detailed instructions, and blindly clears tickets without questioning if the solution actually makes sense or if there is a better way to build it.
Key responsibilities include :
Streamlit & Library Development :
- Create reusable UI components, layout templates, and streamlined AI/LLM wrappers within the library to empower internal teams to build data apps quickly.
- Enforce software development best practices, including robust version control, package distribution, documentation, and automated testing for the internal framework.
Data Pipeline & BI Maintenance :
- Support and update legacy dashboards built in Tableau and Looker as needed.
- Ensure the stability and uptime of current data systems while transitioning relevant workloads toward Streamlit-based tools.
- Help the dbt team define scopes and requirements to update existing data pipelines built in DBT.
Required skills :
- Python: 3+ years
- Databases Experience: 2+ years
- SQL: 2+ years
- Data Engineering : 1+ years
- AI Usage: 1+ years developing with support of AI coding agents
Desirable Qualifications (Nice to Have) :
- Streamlit
- AI agents skills development
- Dashboard development
- Snowflake or other data platforms (AWS, GCP, Azure)
- DBT
- Machine Learning / Artificial Intelligence (AI)
- Data Visualization Tools (e.g., Tableau, Looker)
LI-MR7
Please note that anyone hired into this position must be physically located in and plan to work from Mexico City (CDMX) or Mexico State (Estado de Mexico).
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