Senior Power BI & Databricks Visualization Engineer

Daikin Manufacturing México; Monterrey; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Daikin Applied Americas is seeking a Senior Power BI / Data Visualization Engineer to design, build, and operate scalable, production-grade data visualization solutions on the Databricks platform. You will collaborate with data engineers, analytics teams, and product owners to translate requirements into intuitive dashboards and trusted data assets.

This hands-on role requires ownership, strong communication, and the ability to raise the bar for data experiences in an Agile environment.

Formación

• Bachelor's degree in CS/IS or related field.
• 5+ years of experience with large datasets and turning data into insights.

Responsabilidades

• Design, build, and operate scalable, production-grade data viz solutions and Power BI datasets.
• Collaborate with data engineering to place logic between Databricks and visualization layers.
• Own visualization solutions end-to-end in production, including design, deployment, monitoring, and troubleshooting.
• Optimize dashboards for performance and cost efficiency while ensuring data accuracy.
• Define governance, access controls, and documentation for BI assets.

Conocimientos

Power BI dashboards

Data visualization design

SQL

Performance optimization

Stakeholder communication

Ownership & delivery

Educación

Bachelor’s Degree in Computer Science, Information Systems, or related field

Herramientas

Databricks

Power BI

Azure

Genie (Databricks Genie)

Descripción del empleo

Daikin Applied Americas is seeking a Senior Power BI / Data Visualization Engineer to design, build, and operate scalable, production-grade data visualization solutions on the Databricks platform. You will collaborate with data engineers, analytics teams, and product owners to translate requirements into intuitive dashboards and trusted data assets.

This hands-on role requires ownership, strong communication, and the ability to raise the bar for data experiences in an Agile environment.