Position Overview:


We are looking for a savvy Data Engineer to join our growing team of data engineering experts. The right candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is a passionate data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

 

What You’ll Do for Us:

  • Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.
  • Azure Synapse or Azure Data Factory is a plus
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AZURE ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

 

What We Can Do for You:

  • Leadership Development: Our Company’s purpose clearly speaks to the importance of leadership. We feel everyone has potential to be a great leader at Coca-Cola and have set the bar high.  
  • Total Rewards: Our benefits, called Total Rewards, is about the total value of working at The Coca-Cola Company. It is focused on the complete package of pay, benefits, learning and personal support you receive as a Coca-Cola employee.   
  • Learning & Development: At The Coca-Cola Company we believe innovation can't happen without continuous learning and we provide our employees many ways to grow professional and personally.

Qualifications & Requirements:

  • University Degree (Bachelor) or equivalent
  • At least 2 years of prior relevant experience in data engineering using Spark (Scala, PySpark, Pandas etc.)
  • Has specialized depth and/or breadth of expertise in own discipline or function
  • Working SQL knowledge and experience with relational databases, SQL queries as well as familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience in development in some of the programming languages Python, Scala, C#/.NET, or similar
  • Experience with Cloud development, Data and Analytics services is considered a plus
  • Microsoft Azure Synapse Analytics services is considered a plus
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
Technical Skills
Is a Remote Job?
Hybrid (Remote with required office time)
Employment Type
Full time

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...

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