Technology Lead | Azure Data Engineering

Nice-to-Have: Microsoft Fabric Experience with modern cloud data platforms

Responsibilities: Design, develop, and optimize data solutions using Azure Synapse Analytics. Develop scalable data pipelines and transformations using PySpark and Spark SQL. Apply Apache Spark architecture and distributed processing concepts to large-scale data workloads. Design and implement Data Lake and Medallion Architecture solutions. Troubleshoot performance, data quality, and pipeline-related issues. Collaborate with cross-functional teams to understand requirements and deliver scalable solutions. Evaluate and leverage Microsoft Fabric capabilities where appropriate. Provide technical leadership and contribute to solution architecture and development standards.

Required Qualifications: 8+ years of experience in data engineering, cloud platforms, or related technology roles. Strong hands-on experience with Azure Synapse Analytics. Strong programming experience with PySpark and Spark SQL. Deep understanding of Apache Spark and distributed data processing. Experience designing and implementing Data Lake architectures. Excellent communication and collaboration skills. Strong analytical, troubleshooting, and problem-solving abilities.