Senior Azure Databricks Data Engineer - PySpark Ownership

Daikin Manufacturing México; Monterrey; Híbrido; MXN 900.000 - 1.400.000; Tempo integral

Resumo da vaga

Daikin Applied Americas is seeking a Senior Azure Databricks Data Engineer to join our Data & Analytics team and build scalable, production-grade data solutions across the organization.

This role requires hands-on Azure Databricks, PySpark, Medallion Architecture, and end-to-end data pipeline ownership, plus collaboration with BI, Analytics, and Data Product teams. You will mentor engineers, help define architectural standards, and drive production reliability and cost-efficient design.

Qualificações

• 8+ years hands-on experience in Data Engineering and/or Data Architecture
• Excellent English communication skills, 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

Conhecimentos

Azure Databricks

PySpark

Data pipelines

Data modeling

Cloud architecture

CI/CD

Ferramentas

Unity Catalog

Terraform

Descrição da vaga

Daikin Applied Americas is seeking a Senior Azure Databricks Data Engineer to join our Data & Analytics team and build scalable, production-grade data solutions across the organization.

This role requires hands-on Azure Databricks, PySpark, Medallion Architecture, and end-to-end data pipeline ownership, plus collaboration with BI, Analytics, and Data Product teams. You will mentor engineers, help define architectural standards, and drive production reliability and cost-efficient design.