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Sr. Data Engineer

010Coca-Cola North America
🇲🇽 Mexico
On-site
Senior
1 day ago
  • Scala
  • JVM
  • Microsoft Fabric
  • Apache Spark
  • Microservices
  • CI/CD
  • GitHub Actions
  • Maven
  • System Design
  • Java
  • Vault
  • Fabric
  • Azure Functions
  • Devops
  • Git
  • Hadoop
  • Delta Lake
  • AWS
  • Azure
  • GCP
  • Agile
  • Scrum
  • Lean
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Job Description Summary:

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 aSr. 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. 

Skills:

Location(s):

Mexico

City/Cities:

Mexico

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

October 2, 2026

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 reasonsour company continues to thrive after 130+ years. VisitOur Purpose and Vision to learn more about these behaviors and how youcan bring them to life in your next role at Coca-Cola.

Sr. Data Engineer · 010Coca-Cola North America

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