Azure Data Engineer

Role:

• Identify the necessary data sets for each Use Case in cooperation with the Source Teams and Business Analysts.

• Incorporate data into the Enterprise Data Lake.

• Transfer and convert data from the Data Lake to SQL databases or SQL Data Warehouses as needed for each Use Case.

• Apply logic according to business requirements, such as defining Key Performance Indicators (KPIs).

• Work closely with other IT delivery teams to develop a comprehensive solution for a given Use Case.

• Manage the life cycle of the delivered use cases.

Essential requirements:

• Experience with the Microsoft Azure Platform (Data Lake, Data Factory, Databricks, Data Warehouse, Azure DevOps)

• Experience in DataBase and Information Modelling

• Experience with data wrangling using SQL and Python (R is a bonus)

• Experience with the Apache Spark Framework (preferably PySpark - Python)

• Experience with scripting languages such as Python and PowerShell (C#/.NET)

• Experience integrating systems and services

• Experience consuming REST APIs

• Experience developing REST APIs (preferably with Flask - Python)

• Experience with Docker containers

Please explain how you meet all the requirements when applying.

Utilization: 100%

Location: Lund 3 days/week

Period: 06-11-2023 - 29-11-2024(with a good chance of extension)

Last day to apply: 03-11-2023

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