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
📌 Sr. Data Engineer (Ciudad de México)
🏢 Coca Cola
📍 Ciudad de México
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