What are the responsibilities and job description for the Azure Data Engineer position at Largeton Group?
Location : (Minneapolis, MN 55402/Atlanta, GA 30309/Dallas, TX 75233/San Francisco, CA 94132)
- Utilizing Python and SQL skills, with over 10 years of experience in each.
- Gaining hands-on experience with Azure Data Factory, Synapse, Event Hub, and AKS.
- Leveraging more than 5 years of knowledge in AWS and Azure cloud.
- Working with distributed processing frameworks such as Kafka, Spark, and Flink.
- Implementing Graph QL API and REST API, as well as using shell scripting.
- Possessing strong communication and problem-solving skills.
- Being responsible for data pipeline creation and connections in Azure, data migration, data transformation, query conversion, and new data validation tools.
- Developing new data APIs in Azure AKS.
- Working on a project involving the migration of a data warehouse and data pipeline from GCP to Azure.
- Potentially extending the duration of the role to cover MVP development/releases additional scope, performance tuning, and documentation post MVP launch.
- Preferred skills include Graph QL API and REST API, data microservice, and shell scripting.
