AI-Driven Analytics Engineer for Product Growth

Faire; Valle de San Francisco; Híbrido; MXN 3,461,000 - 4,760,000; Jornada completa

Descripción de la vacante

A leading online marketplace located in San Luis Potosí, Mexico, seeks a technical leader to enhance product features for small and medium businesses. The candidate will work closely with data scientists and software engineers to build data capabilities. Responsibilities include leading projects, optimizing data systems using AI, and ensuring data quality. Ideal candidates should have 4+ years in analytics and data engineering, strong Python and SQL skills, and experience with big data technologies. This role offers a great opportunity to impact company growth and user satisfaction.

Servicios

Equity and benefits

Flexible work arrangements

Opportunity to work with cutting-edge technology

Formación

• 4+ years experience in analytics & data engineering roles focused on data modeling.
• Demonstrated communication and leadership skills.
• Production-level development experience in Python.
• Strong SQL skills for designing well-architected data models.
• Deep knowledge of data warehousing concepts and big data technologies.

Responsabilidades

• Lead cross-team and/or multi-phase projects from design through implementation.
• Build scalable data models and pipelines.
• Ensure security standards are met within data systems.
• Optimize processes for operational excellence.

Conocimientos

Data modeling

Large-scale data processing

Leadership

SQL

Python

ETLs

Big data technologies

Analytics platforms

Airflow

Docker

Educación

BA/BS degree in Computer Science, Math, Physics, or a related field

Descripción del empleo

A leading online marketplace located in San Luis Potosí, Mexico, seeks a technical leader to enhance product features for small and medium businesses. The candidate will work closely with data scientists and software engineers to build data capabilities. Responsibilities include leading projects, optimizing data systems using AI, and ensuring data quality. Ideal candidates should have 4+ years in analytics and data engineering, strong Python and SQL skills, and experience with big data technologies. This role offers a great opportunity to impact company growth and user satisfaction.