Azure Data Engineer – Permanent – Los Angeles, CA
The Role
- Extensive hands-on experience on
- Experience on HDInsight cluster to troubleshoot issues, tools used for trouble shooting
- Experience with Spark is required
- Performing all phases of software engineering including requirements analysis, application design, and code development and testing.
- Designing and implementing product features in collaboration with business and IT stakeholders.
- Hands on Experience working with Azure , ADF, ADLS, Azure sql, Synapse
- Hands on experience with Azure Devops, CICD pipeline, Azure GIT Database
- Datawarehouse experience preferably SQL server
- Experience working on Linux environments
- Devops experience preferably with Jenkins, Monitoring alert tools Supporting the implementation and driving to stable state in production.
- Providing alternative design solutions and project estimates.
- Reviewing code and providing feedback relative to best practices, performance improvements etc.
- Troubleshooting production support issues post deployment and come up with solutions as required.
Primary Skills: HDInsights, ADF, Spark
If this role is of interest, please contact Shannon today at s.roberts@nigelfrank.com.
Job Requirements:
*Extensive hands-on experience on HDInsight. •Experience on HDInsight cluster to troubleshoot issues, tools used for trouble shooting •Experience with Spark is required •Performing all phases of software engineering including requirements analysis, application design, and code development and testing. •Designing and implementing product features in collaboration with business and IT stakeholders. •Hands on Experience working with Azure , ADF, ADLS, Azure sql, Synapse •Hands on experience with Azure Devops, CICD pipeline, Azure GIT Database •Datawarehouse experience preferably SQL server •Experience working on Linux environments •Devops experience preferably with Jenkins, Monitoring alert tools Supporting the implementation and driving to stable state in production. •Providing alternative design solutions and project estimates. •Reviewing code and providing feedback relative to best practices, performance improvements etc. •Troubleshooting production support issues post deployment and come up with solutions as required.