Azure Data Engineer

Key Responsibilities: Design, develop, and maintain data solutions on Azure cloud platforms. Work extensively with data lakes, data warehouses, and Snowflake (preferred). Assemble and integrate large, complex datasets meeting functional and non-functional business requirements. Model and orchestrate complex finance-related data workflows. Perform performance tuning, optimization, bottleneck analysis, and troubleshooting in ambiguous environments. Develop and maintain CI/CD pipelines and data integrity checks. Implement and monitor best practices in Dev frameworks and cloud systems. Work with Kafka for data streaming and real-time data processing. Collaborate with cross-functional teams to deliver high-quality data solutions. Required Skills & Experience: 10+ years of hands-on experience in Data Engineering with a strong focus on Azure. Strong understanding of modern data platforms including data lakes and data warehouses; Snowflake experience preferred. Proficiency in SQL, Python, PowerShell, and JavaScript. Experience with cloud-based data platforms, especially Azure and Snowflake. Expertise in large volume data processing; retail industry experience is a plus. Familiarity with Kafka technologies and real-time data streaming. Experience building CI/CD pipelines and implementing data integrity checks. Ability to troubleshoot and optimize performance in complex environments. Strong analytical, problem-solving, and communication skills.