onsite
Azure Data Engineer - Strategic IT
Data Engineer
Design, build, and maintain scalable data pipelines on Azure, leveraging SQL, Python, and Azure Data Factory to deliver high‑quality data solutions for analytics and reporting.
About the role
Key Responsibilities
- Architect and develop robust data pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks to ingest, transform, and load data from diverse sources.
- Design and implement data models, schemas, and data lake structures in Azure Data Lake Storage for optimal performance and governance.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and translate them into scalable data solutions.
- Optimize query performance, monitor pipeline health, and troubleshoot issues across the Azure ecosystem.
- Ensure data quality, security, and compliance through proper governance and documentation.
Requirements
- Proven experience as a Data Engineer in Azure environments.
- Strong proficiency in SQL, Python, and Azure Data Factory.
- Hands‑on experience with Azure Synapse Analytics and Azure Databricks.
- Knowledge of data lake architecture, ETL best practices, and data governance.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced setting.