Role Overview
Join our team as a hands-on Data Engineer with 4-7 years of experience to build robust, scalable data pipelines using the Medallion Architecture on Microsoft Azure.
What You Will Do
Design, build, and maintain scalable batch/real-time data pipelines, onboard complex data sources, and integrate them into the Azure Cloud.
Why It Might Be a Fit
You will collaborate closely with data scientists, analysts, and cross-functional squads to power downstream reporting, analytics, and machine learning initiatives.
Requirements
- Minimum 4 years of hands-on professional experience in data warehousing, ETL/ELT design, and building enterprise data pipelines.
- Strong expertise working with large volumes of data within Microsoft Azure.
- Advanced working knowledge of Python and PySpark for data transformation and distributed computing.
- Expert-level SQL skills with strong understanding of data warehousing concepts, database schemas, and data modeling.
To apply for this job please visit tas-daimler.taleo.net.
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