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The role requires designing and implementing data solutions using the Azure Data Engineering Stack while leveraging skills in Python, Pyspark, and SQL. The position also involves working with modern data warehousing and agile methodologies, focusing on collaboration both independently and within a team.

The Azure Data Engineer will be responsible for designing and implementing robust data engineering solutions using the Azure stack. This includes managing data flows, optimizing performance, and ensuring data integrity while collaborating in an Agile team environment. Knowledge of modern data architectures and strong programming skills, particularly in Python and SQL, are essential.

In this role, the Data Engineer QA will conduct end-to-end test activities, design and execute test plans for backend components, develop automated test suites using Python, Java, and Scala, simulate scenarios for big data platforms, and report on test outcomes while collaborating within the data engineering team.

The Big Data Engineer role involves developing and managing big data solutions using Spark and Scala. Responsibilities include data modeling, enrichment, and providing insights through visualization. Candidates will work with various big data technologies and collaborate with teams for effective data management.

As an Azure Data Engineer at Xebia, you will leverage your expertise in the Azure Data Engineering Stack to design and implement data solutions. Responsibilities include working with Azure services, developing data pipelines, and applying your knowledge of data warehousing concepts in an Agile environment, while also collaborating effectively with teams.