Data Bricks - Data Engineer
Summary
Designs and deploys Databricks-based data pipelines and platforms on Azure, guiding clients through big-data and AI transformations using Spark SQL and Agile practices.
Job Description of Data Bricks - Data Engineer in Melbourne: "Tech Stack Required:
Required: 6- 10 Years
· Experience in Data Lake, Azure Data Bricks
· Experience Designing and deploying Databricks platforms for any of AWS, Azure or Google Cloud
· Experience building and deploying data engineering pipelines into production, including using automation best practices for CI/CD
· Guiding clients as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
· Experience in working in Scrum Agile Technical
· Streamlining the customer machine learning lifecycle and integrating it with the rest of the data platform
· Experience in Big Data Technologies
Skills: Azure Data Lake , Azure Data Bricks and Spark SQL
Good to have:
· Apache Spark certifications
· Databricks certifications"