Azure Data Engineer

Job Summary

We are seeking a hands-on Azure Data Engineer to design, build, and optimize modern data platforms that support analytics and AI initiatives. This role involves close collaboration with technology and business teams to deliver scalable, high-performance data solutions and enable data-driven decision-making.

Key Responsibilities

• Design and develop data pipelines using Azure Data Services and Databricks
• Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric
• Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage
• Develop scalable and reliable data models to support analytics and AI/ML use cases
• Collaborate with stakeholders to translate business requirements into technical solutions
• Ensure performance optimization, data quality, and governance across data platforms

Required Qualifications

• Strong experience in Azure Data Engineering
• Hands-on expertise with Databricks, PySpark, Python, and SQL
• Experience with Azure Fabric, Snowflake, and modern data architectures
• Solid understanding of cloud-based data pipelines, performance tuning, and data governance
• Strong analytical, problem-solving, and communication skills
• Ability to work collaboratively with cross-functional teams

Preferred Qualifications

• Experience supporting AI/ML workloads and data-driven applications
• Familiarity with data lakehouse architectures and Delta Lake implementations
• Experience working in Agile or similar development environments

Education

• Bachelors Degree