Sr. Data Engineer

Job Description Summary:

At TheCoca-ColaCompany, 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. Byleveragingyour deepexpertisein 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 global engineering teams.

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Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.