Azure Data Engineer

Responsibilities
Design, develop, and maintain robust data pipelines in Microsoft Azure.
Build and optimize ETL/ELT processes using Python and PySpark.
Develop solutions in Azure Databricks and Azure Data Factory.
Implement scalable data models and ensure data quality, performance, and reliability.
Collaborate closely with technology teams and business stakeholders to deliver data-driven solutions.
Support production deployments, performance tuning, and ongoing enhancements.
Required Qualifications
Strong hands-on experience with Azure Data Engineering.
Advanced proficiency in Python and PySpark.
Experience with Azure Databricks and modern data lake architecture.
Solid SQL skills and experience working with large-scale datasets.
Strong understanding of data pipeline optimization and best practices.
Excellent communication and stakeholder management skills.