Databricks Analytics Engineer — Exec Dashboards

General Motors de México; Ciudad de México; Híbrido; MXN 650.000 - 950.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangement

Descripción de la vacante

General Motors de México is seeking a senior analytics/report developer to design and deliver Databricks-based dashboards and reports, enabling scalable, reliable data access for executives and end-users. The role emphasizes storytelling, performance, and an exceptional user experience across GM's telematics data.

You will work with data engineers to optimize data models, improve query performance, and ensure secure, role-based access in dashboards, with travel up to 15-20% for collaboration and

Formación

• Bachelor's degree in computer science, information systems, data science, engineering, or related field, or equivalent experience.
• 5+ years of experience as analytics/report developer, BI developer, or data visualization engineer building production dashboards/reports.
• English: Advanced.

Responsabilidades

• Design, build, and maintain executive dashboards/reports using Databricks SQL and visualization capabilities.
• Collaborate with data engineers to define optimized data models.
• Improve report query performance and scalability.
• Ensure excellent user/customer experience in dashboards and analytics.
• Investigate performance issues and derive remedies from data.

Conocimientos

Databricks

SQL

Python

Data visualization

English (Advanced)

Power BI

Collaboration

Travel availability

Educación

Bachelor's degree in Computer Science/Info Systems/Data Science/Engineering

Herramientas

Databricks

Power BI

Descripción del empleo

General Motors de México is seeking a senior analytics/report developer to design and deliver Databricks-based dashboards and reports, enabling scalable, reliable data access for executives and end-users. The role emphasizes storytelling, performance, and an exceptional user experience across GM's telematics data.

You will work with data engineers to optimize data models, improve query performance, and ensure secure, role-based access in dashboards, with travel up to 15-20% for collaboration and