Etic, Azure And Databricks Data Engineer, Senior Associate
PwC PricewaterhouseCoopers GmbH
Cairo, Egypt
Azure data platform
Databricks
Data pipelines
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks
Job Summary
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks.
This role requires a strong understanding of cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and deep practical knowledge of Databricks for batch and data engineering.
Participate in client workshops and technical discussions to translate business needs into technical designs.
Matching Summary
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks.
Skills & Requirements
Must-have
Azure Data Platform
Databricks
Data pipelines
Python and SQL
Data modeling
Lakehouse principles
Nice-to-have
Accepting Feedback
Active Listening
Agile Scalability
Analytical Thinking
Communication
Creativity
Key Requirements
3–6 years of experience in data engineering
Azure Data Platform: Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, and Azure Functions
Databricks: PySpark, Spark SQL, Delta Lake, Unity Catalog, and Databricks Workflows
Familiarity with CI/CD pipelines, DevOps, and version control
Knowledge of data governance, lineage, and observability tools