Azure Data Engineer

Azure Data EngineerAssist in building and maintaining the infrastructure needed for efficient extraction, transformation, and loading (ETL) of data from a variety of structured and unstructured sources using tools such as SQL, Azure Data Factory, and other big data technologies. Implement and support scalable data pipelines, ensuring they meet functional and non-functional business requirements such as reliability, latency, and cost-effectiveness. Build components that power analytics dashboards and machine learning models used by marketing and strategy teams to uncover insights on customer behavior, brand performance, and market trends. Work with data scientists, analysts, and marketers to understand business needs and translate them into technical solutions. Support data infrastructure requirements for experimentation, segmentation, and reporting use cases. Identify and help implement opportunities for automating manual processes, improving data quality, and enhancing pipeline efficiency and scalability. Create tools and reusable assets that empower analysts and data scientists to perform their work more efficiently. Provide day-to-day support on data engineering-related tasks and troubleshooting. Participate in other data or insights-related projects and duties as assigned by leadership to support evolving business needs. Field of study: Bachelor's Degree required in Computer Science or Management Information Systems or Computer Engineering.