Data Engineer

The Data Engineer position at Data Bricks in Melbourne requires a candidate with 6-10 years of experience in Data Lake and Azure Data Bricks. You should have expertise in designing and deploying Databricks platforms on AWS, Azure, or Google Cloud, as well as building and deploying data engineering pipelines with automation best practices for CI/CD. Your role will involve guiding clients in implementing transformative big data projects, including end-to-end development and deployment of cutting-edge big data and AI applications. Experience in working with Scrum Agile methodology and streamlining the customer machine learning lifecycle are essential. Proficiency in Big Data Technologies is a must. Key Skills: - Azure Data Lake - Azure Data Bricks - Spark SQL Desirable Skills: - Apache Spark certifications - Databricks certifications In this role, you will play a crucial part in the successful execution of data engineering projects and contributing to the advancement of big data technologies.,