Sr. Data Engineer

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Food
The Role
Design and implement scalable batch and streaming data pipelines using Spark and Scala on Microsoft Fabric/Synapse. Build JVM REST microservices, optimize Spark performance and data models, enforce engineering rigor (functional programming, SOLID), and maintain CI/CD pipelines with GitHub Actions, Maven/SBT. Collaborate in Agile teams to deliver reliable, high-performance data solutions.
Summary Generated by Built In

Job Description Summary:

At The CocaCola 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. 

Skills:

Location(s):

Mexico

City/Cities:

Mexico

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

August 29, 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 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.

Skills Required

  • Strong proficiency in Scala programming and functional programming concepts
  • Apache Spark expertise (3+ years) building and optimizing distributed computing applications
  • Deep experience with Spark performance tuning (partitioning, memory, query optimization, workload balancing)
  • Experience designing data models (STAR, Vault, Tabular) for analytics
  • Experience building REST-based microservices on the JVM (Scala/Java)
  • Microsoft Fabric / Azure Synapse experience (3+ years combined) and familiarity with Azure Data Services
  • Hands-on with Azure Data Factory (ADF), Azure Functions, and ARM Templates
  • DevOps & CI/CD experience: Git, GitHub Actions, Maven, SBT (automated release pipelines)
  • Experience with big data ecosystems (Hadoop, Delta Lake) and cloud platforms (AWS/Azure/GCP)
  • Familiarity with Agile delivery (Scrum, lean) and collaborating with global engineering teams
  • Adopt 'You Build It, You Run It' operational ownership and apply SOLID engineering principles

The Coca-Cola Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Coca-Cola Company and has not been reviewed or approved by The Coca-Cola Company.

  • Retirement Support Retirement benefits are positioned as a standout, combining a 401(k) match with a company-funded cash-balance pension and an employee stock purchase plan match that together materially increase long-term package value.
  • Healthcare Strength Health coverage is described as broad and feature-rich, including national medical coverage plus specialized add-ons like virtual care, second opinions, oncology navigation, fertility support, and chronic-condition programs.
  • Leave & Time Off Breadth Time-off benefits are outlined with structured vacation accrual that increases with tenure and a holiday program that includes both set and floating days.

The Coca-Cola Company Insights

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The Company
HQ: Atlanta, GA
88,900 Employees
Year Founded: 1892

What We Do

The Coca-Cola Company (NYSE: KO) is a total beverage company, offering over 500 brands in more than 200 countries and territories. In addition to the company’s Coca-Cola brands, our portfolio includes some of the world’s most valuable beverage brands, such as AdeS soy-based beverages, Ayataka green tea, Dasani waters, Del Valle juices and nectars, Fanta, Georgia coffee, Gold Peak teas and coffees, Honest Tea, innocent smoothies and juices, Minute Maid juices, Powerade sports drinks, Simply juices, smartwater, Sprite, vitaminwater and ZICO coconut water.

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