Databricks Engineer Azure & Genai

Databricks Engineer Azure & Genai - Detalhes da Vaga. ● This role will be responsible for designing, developing, and optimizing scalable data and AI solutions that support enterprise analytics, machine learning, and GenAI initiatives. ●The ideal candidate combines strong data engineering fundamentals with hands-on experience in Databricks, Azure services, and modern AI/LLM-based workflows. ●ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Databricks on Azure. ●Build and optimize ETL/ELT workflows using Spark and Databricks. ●Implement and manage Delta Lake architectures and medallion data models. ●Develop and support GenAI and LLM-based solutions using Databricks AI/ML capabilities. ●Integrate Azure cloud-native services into data and AI workflows. ●Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions. ●Optimize performance, scalability, reliability, and cost efficiency of Databricks workloads. ●Implement monitoring, logging, and operational best practices for data platforms. ●Support CI/CD, infrastructure automation, and deployment processes. ●Ensure security, governance, and compliance standards are followed across cloud and data environments. ●Participate in technical discussions, architecture reviews, and solution design. ● Required QualificationsStrong hands-on experience with Databricks platform. ●Experience building solutions in Microsoft Azure cloud environment. ●Solid knowledge of Apache Spark and distributed data processing. ●Experience with Python and SQL for data engineering and analytics workloads. ●Experience with Delta Lake and modern lakehouse architectures. ●Familiarity with Databricks AI/ML and Generative AI capabilities. ●Experience integrating LLMs, vector search, embeddings, or RAG-based solutions is a plus. ●Understanding of cloud-native data services and orchestration tools. ●Experience with Git-based development workflows and CI/CD pipelines. ●Strong troubleshooting and problem-solving skills. ●Ability to work independently in a distributed/global team environment. ●Good verbal and written English communication skills. ● Preferred QualificationsExperience with Azure Data Factory, Azure Synapse, Azure OpenAI, or related Azure AI services. ●Familiarity with MLflow, model serving, and MLOps practices. ●Experience with infrastructure as code tools such as Terraform. ●Knowledge of containerization and orchestration technologies. ●Databricks or Azure certifications are a plus. ●Experience supporting enterprise-scale production environments. ●. Requisitos para participar do processo. ● . O que oferecemos.