Azure Data Engineer with a minimum of 3 years of relevant experience. Candidates should have a Bachelor’s degree in Computer Science or a related field. The role involves designing and implementing scalable data pipelines using Azure services, managing data storage solutions, and integrating various data sources.

Key Responsibilities:
Design, develop, and maintain data pipelines using Azure Data Factory and other Azure services.
Collaborate with data scientists and analysts to support data initiatives.
Ensure the reliability, availability, and performance of the data infrastructure.
Optimize data flow and pipeline architecture.
Implement best practices for data security and governance.
Monitor data pipelines and troubleshoot issues as needed.
Develop and maintain data integration solutions.
Document data processes and workflows.
Stay up-to-date with Azure technology advancements.
Provide support for data-related technical issues.
Qualifications:
3+ years of experience in data engineering.
Proficiency in Azure services (e.g., Data Lake, Databricks, Synapse).
Strong knowledge of Python, SQL, and data modeling.
Excellent problem-solving skills and attention to detail.