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 andoptimizedistributed computing applications that deliver scalablebatchand 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. + Optimizeworkflows through data partitioning strategies, storage formats, and platform configurations to enablehigh-performancequerying 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** + Strongproficiencyin Scala programming withdemonstratedknowledge of functional programming concepts, concurrency models, and modular system design. + Spark Expertise (3+ years): Deep, hands-on experience building,debuggingandoptimizingdistributed 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-onexpertisewith Git, GitHub Actions, and build tools (Maven/SBT, UV arerequired). + 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 general engineering teams. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

📌 Sr. Data Engineer (México)
🏢 The Coca-Cola
📍 México