At The Coca-Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today's digital-first world. As consumers engage with our brands in more connected ways than ever before, we are investing in advanced data and analytics platforms to unlock deeper insights, accelerate decision-making, and enable seamless innovation at scale.In this role as a Sr. Data Engineer, you will play a critical part in shaping how data flows across our enterprise ecosystem. By leveraging your deep expertise in Spark, Scala development, and JVM-based engineering, you will design and implement integration frameworks that power both batch and streaming workloads on Microsoft Fabric and Synapse Analytics.Core Responsibilities Design and develop data integration pipelines and backend services for structured and unstructured data, using Apache Spark with Scala.Build and optimize distributed computing applications that deliver scalable batch and streaming workloads within Microsoft Fabric environments.Perform advanced Spark performance tuning, including partitioning strategies, memory configuration, query optimization, and workload balancing across large datasets.Develop REST-based microservices and APIs on the JVM to enable seamless interoperability between internal and external systems.Engineer modular, testable, and maintainable code applying functional programming principles and industry-best patterns for reliability and performance.Optimize workflows through data partitioning strategies, storage formats, and platform configurations to enable high-performance querying and cost efficiency.Engineering Rigor: Champion the "You Build It, You Run It" philosophy. Apply strict functional programming and SOLID principles to write clean, modular, and testable Scala code.Performance Optimization: Conduct deep Spark performance tuning - managing memory, query plans, partitioning strategies, and capacity optimization to deliver highly efficie