About the Company 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 RoleAzure Databricks Data Engineer Monterrey, Mexico | HybridThis 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.ResponsibilitiesDesign, build, and operate scalable data pipelines and data products within Azure DatabricksOwn data solutions end-to-end, from architecture and development through deployment, monitoring, production support, and continuous improvementDesign and evolve Medallion Architecture and foundational data modelsDevelop and optimize large-scale PySpark/Spark workloadsTroubleshoot complex distributed data systems and perform root cause analysisEstablish data quality, testing, observability, and reliability practicesOptimize solutions for performance, scalability, and costContribute to architectural decisions and engineering standardsCollaborate with BI, Analytics, Data Visualization, and Data Product teamsMentor other engineers and contribute to a high-performance engineering cultureQualifications8 years of hands-on experience in Data Engineering and/or Data ArchitectureAdvanced/Fluent English communication skills, both written and verbalRequired SkillsStrong,



recent experience with Azure Databricks as a primary data engineering platformAdvanced hands-on experience with PySpark / Apache SparkExperience designing and implementing production-grade data pipelines and data productsHands-on experience with Medallion Architecture (Bronze / Silver / Gold) or similar layered data architecturesExperience designing data models, ingestion frameworks, and scalable data solutionsProven experience with Spark/Databricks performance optimization, scalability, and cost efficiencyExperience with production monitoring, troubleshooting, incident response, and root cause analysisExperience with CI/CD for data pipelines and Databricks environmentsStrong understanding of cloud-based data platforms, preferably within AzureAbility to make architectural and technical decisions and evaluate trade-offs between performance, scalability, cost, maintainability, and deliveryStrong communication skills and the ability to collaborate with Data, Analytics, BI, and cross-functional teamsPreferred SkillsDatabricks GenieAI-assisted data engineering toolsDelta Lake / Delta Live TablesUnity CatalogInfrastructure as Code / TerraformAzure DevOpsData governance and securityExperience working with enterprise-scale data platformsAdditional InformationIMPORTANT Databricks experience must be recent and hands-on.
We are specifically looking for professionals who have used Azure Databricks as a primary data engineering platform, not candidates whose experience is limited to training, occasional exposure, or primarily traditional ETL/SQL environments.LOCATION: Monterrey, MexicoWORK MODEL: Hybrid (More remote than on place)LANGUAGE: Advanced/Fluent English required#J-*****-Ljbffr

📌 Senior Azure Databricks And Pyspark (Linares)
🏢 Daikin Manufacturing México
📍 Linares