About the job Data Bricks - Data EngineerJob Description of Data Bricks - Data Engineer in Melbourne:Tech Stack Required:6-10 Years of ExperienceExperience in Data Lake, Azure Data BricksExperience Designing and deploying Databricks platforms for AWS, Azure or Google CloudExperience building and deploying data engineering pipelines into production, including using automation best practices for CI/CDGuiding clients as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applicationsExperience in working in Scrum Agile TechnicalStreamlining the customer machine learning lifecycle and integrating it with the rest of the data platformExperience in Big Data TechnologiesSkills: Azure Data Lake, Azure Data Bricks and Spark SQLGood to have:Apache Spark certificationsDatabricks certifications
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