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 efficient batch and streaming workloads within Microsoft Fabric. 

• CI/CD & Automation: Architect and maintain robust CI/CD pipelines using GitHub Actions, Maven, and SBT to automate testing, deployment, and configuration of data artifacts. 

Required Qualifications & Experience 

• Strong proficiency in Scala programming with demonstrated knowledge of functional programming concepts, concurrency models, and modular system design. 

• Spark Expertise (3+ years): Deep, hands-on experience building, debugging and optimizing distributed computing applications using Apache Spark (Scala/Java preferred). 

• Experience designing data models (STAR, Vault, Tabular) for analytics. 

• Experience building REST based microservices on JVM. 

• Synapse/Fabric Experience (3+ years of combined experience); Designing and transforming large data using Azure Data Services (Synapse, ADF, Azure Functions, ARM Templates). 

• DevOps & CI/CD: Proven ability to build automated release cycles. Hands-on expertise with Git, GitHub Actions, and build tools (Maven/SBT, UV are required). 

• Demonstrated experience working with big data ecosystems such as Hadoop, Delta Lake, or similar technologies within cloud platforms (AWS, Azure, or GCP). 

• Delivery: Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.