Data Engineer - AzureGoogle cloud

Role:

• Creating maintaining and enhancing data pipelines for extracting data via REST based APIs to enable near real time reporting for Warehouse Operations on Azure
• Creating maintaining and enhancing reports and datasets on PowerBI to enable historical and real time reporting
• Maintaining and enhancing an existing Product (SKU) classification solution based on Azure App services and Databricks (Data Extraction Model Logic UI)
• Implementing a New product classification solution based on Dataiku
• Working with adhoc data integrations (files received via email etc) and serving the data for reporting
• Adhoc data analysis as and require by stakeholders
• Helping out with resource creation for the new Data Foundation for SAP BW data on GCP

Essential requirements:

• Databricks (Pyspark)
• CI/CD via Azure Devops
• Python for UI and integrations
• Azure App Services
• Azure Service Bus
• Dataiku
• PowerBI
• Azure Data Factory
• Azure SQL
• Google BigQuery
• Cloud Functions
• Azure Functions
• Logic Apps
• Terraform for resource deployment
• SAP EWM data and processes (general)
• Odata Services

Please explain how you meet all the requirements when applying.

Utilization: 100%
Location:Stockholm
Period:
Last day to apply:
We present regularly.This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement we recommend that you submit your application as soon as possible.