Job TitleCreate data pipelines that bring in data for ML Model training, operationalization, and evaluationETL work to automate transfer of data required to support ML Models.Support data modelling and schema design.Development within an Azure environment using tools such as Azure Storage, Data Lake, Data Factory, Databricks, CosmosDB, and open source tools such as Apache Airflow and Kafka.Create CI/CD pipelines and perform unit and integration testing.