Data Engineer Job Description 

Job Overview 

We are looking for a savvy Data Engineer to join our growing team of data engineering experts. The hire 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. 

Responsibilities for Data Engineer 

• Create and maintain optimal data pipeline architecture,

• Azure Synapse or Azure Data Factory is a plus

• Assemble large, complex data sets that meet functional / non-functional business requirements. 

• 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. 

• Keep our data separated and secure across national boundaries through multiple data centers and AZURE regions. 

• 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. 

Qualifications for Data Engineer 

• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. 

• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. 

• 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. 

Skills:

Microsoft Azure Synapse Analytics

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.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.