We are seeking an experienced Data Engineer with hands-on expertise in building and optimizing data pipelines and workflows. The ideal candidate will have strong experience with Azure Data Factory, Microsoft Fabric, and PySpark.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Azure Data Factory.

• Work with Microsoft Fabric to enhance data warehousing and analytics capabilities.

• Develop and optimize ETL processes using PySpark.

• Ensure data integrity, quality, and availability across systems.

• Collaborate with cross-functional teams including data scientists, analysts, and product managers.

• Monitor and troubleshoot data workflows to ensure optimal performance and reliability.

• Maintain documentation and follow best practices in data engineering.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 5+ years of experience in data engineering or similar roles.

• Proven expertise in Azure Data Factory

• Hands-on experience with Microsoft Fabric.

• Proficiency in PySpark and distributed data processing.

• Strong understanding of data warehousing concepts and cloud architecture.

• Excellent problem-solving and communication skills.

• Ability to work independently and within a team environment.