Data Engineer
US – REMOTE
Location(s):
United States of AmericaCity/Cities:
RemoteTravel Required:
Relocation Provided:
NoJob Posting End Date:
September 24, 2024Shift:
Job Description Summary:
Supporting the Revenue Growth Management (RGM) organization within the North America Operating Unit (NAOU), this role is responsible for development, support, and maintenance of data pipelines, new data source integration, process modernization, and data quality monitoring.
You will be part of a small core team of data engineering and data science experts whose goal is to build or enable solutions that support the broader RGM team in areas such as pricing, promotions, and retail execution.
The data sets you help build power a variety of solutions including dashboards, advanced analytics, machine learning models, and full-scale enterprise optimization solutions.
** This is a hands-on, individual contributor role **
What you’ll Do for Us
Hands-on development and troubleshooting of data pipelines, including performance optimization, refactoring, scalability, and sunsetting
Run/Maintain/Modernize existing legacy data pipelines
Develop and deploy change and enhancement requests for data products
Ensure the accuracy, completeness, and reliability of data in data products
Partner with teams we support to discover data needs and deliver solutions
Create and maintain documentation related to data architecture and systems
Qualification & Requirements
Strong proficiency in python, pySpark, and SQL
Demonstrated ability to design, build, and maintain ETL/ELT processes
2+ years’ experience with Azure data services, including Databricks (DBFS, workflows, Delta Tables), Azure Data Factory, ADFS
Experience working with a distributed team, including in-house and external resources
Comfort with iterative development/improvement
Preferred
Experience building data sets for use in Machine Learning models
Experience with open-source data quality frameworks
Familiarity with CPG industry
Skills:
InfluencingPay Range:
$133,000 - $157,000Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
15Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
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. ApplyJob Profile
RestrictionsTravel required
Benefits/PerksAnnual Incentive Continuous learning Financial Financial benefits Growth Culture Inclusive culture Medical Medical benefits Other benefits Relocation provided
Tasks- Create documentation for data systems
- Develop and troubleshoot data pipelines
- Ensure data accuracy and reliability
- Maintain legacy data pipelines
- Partner with teams for data solutions
Analytics Azure Data Services Compliance Data Architecture Databricks Data engineering Data Factory Data quality frameworks Documentation ELT Engineering ETL Influencing Machine Learning Organization PySpark Python Retail Execution SQL Troubleshooting
Experience2 years
Education