Daikin Applied Americas is looking for a Senior Azure Databricks Data Engineer to join our Data & Analytics team and help build and evolve scalable, production-grade data solutions across the organization.
About the Role
Azure Databricks Data Engineer
Monterrey, Mexico | Hybrid
This is not a traditional ETL or BI-focused Data Engineer role. We are looking for a highly hands-on engineer with deep, recent experience in Azure Databricks, strong PySpark/Spark skills, and proven experience owning data solutions from architecture and development through production support and optimization.
Responsibilities
- 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
Qualifications
- 8 years of hands-on experience in Data Engineering and/or Data Architecture
- Advanced/Fluent English communication skills, both written and verbal
Required Skills
- Strong, recent experience with Azure Databricks as a primary data engineering platform
- Advanced hands-on experience with PySpark / Apache Spark
- Experience designing and implementing production-grade data pipelines and data products
- Hands-on experience with Medallion Architecture (Bronze / Silver / Gold) or similar layered data architectures
- Experience designin