Senior Azure Databricks Engineer | PySpark & Data Pipelines

Daikin Manufacturing México; Linares; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Daikin Applied Americas is seeking a Senior Azure Databricks Data Engineer in Monterrey, Mexico, to join the Data & Analytics team. This hybrid role focuses on hands-on data engineering with Azure Databricks, PySpark, and end-to-end ownership of data solutions from architecture to production support.

You will design scalable pipelines, define data models, and optimize for performance and cost while collaborating with BI, Analytics, and Data Product teams.

Formación

• 8 years of hands-on experience in Data Engineering and/or Data Architecture.
• Advanced/Fluent English communication skills, both written and verbal.

Responsabilidades

• Design, build, and operate scalable data pipelines and data products within Azure Databricks.
• Own data solutions end-to-end, from architecture and development through deployment, monitoring, production support, and continuous improvement.
• Design and evolve Medallion Architecture and foundational data models.
• Develop and optimize large-scale PySpark/Spark workloads.
• Troubleshoot complex distributed data systems and perform root cause analysis.
• Establish data quality, testing, observability, and reliability practices.
• Optimize solutions for performance, scalability, and cost.
• Contribute to architectural decisions and engineering standards.
• Collaborate with BI, Analytics, Data Visualization, and Data Product teams.
• Mentor other engineers and contribute to a high-performance engineering culture.

Conocimientos

Azure Databricks

PySpark

Data engineering

Data architecture

Herramientas

Azure Databricks

Delta Lake

Delta Live Tables

Unity Catalog

Terraform

Azure DevOps

Descripción del empleo

Daikin Applied Americas is seeking a Senior Azure Databricks Data Engineer in Monterrey, Mexico, to join the Data & Analytics team. This hybrid role focuses on hands-on data engineering with Azure Databricks, PySpark, and end-to-end ownership of data solutions from architecture to production support.

You will design scalable pipelines, define data models, and optimize for performance and cost while collaborating with BI, Analytics, and Data Product teams.