Data Engineer

Our Company:
Congo Brands is at the epicenter of where consumer demand meets product development. Through brand partnerships with lead influencers, we are afforded an inside look at what consumers truly desire. E-commerce becomes the laboratory for consumer feedback and serves as a data pool for future retail endeavors. Congo Brands is a health and wellness brand that sells supplements, fitness snacks, hydration drinks, energy drinks, and more through ecommerce and retail partnerships. Congo Brands houses some of the World’s most noted brands including Alani Nu, Prime Hydration, Prime Energy, and 3D Energy only to include more in the coming years. Congo Brands is on pace to become one of the World’s most noted consumer product brand companies, with revenue growth increasing exponentially year over year. Congo Brand’s goal is to be the go-to ‘Better for You Brand’ for everything from nutritional supplements, energy drinks, snacks and much more.
The Role:
This is a hybrid, full-time position at Congo Brands HQ in Louisville, KY.
The Data Engineer will be one of the experts who will be providing the company with big data solutions and will be helping manage the development, implementation, and maintenance of data pipelines, architectures, and processes to enable efficient data ingestion, transformation, storage, and retrieval. The Data Engineer will also help provide requirement analysis and help assess and select suitable platforms for the business to use. This rolewill work with data and analytics leaders to identify solutions that meet the changing data needs of the company and assist with the development of such solutions.The Data Engineer will contribute to improved data quality, accuracy, and accessibility for the organization, enabling informed decision-making and effective business strategies.
Key Responsibilities:
Design architecture of big data processes and systems to meet business requirements and data integration needs.
Evaluate and recommend tools, frameworks, and technologies to optimize performance and scalability.
Integrate disparate data sources to create a unified view for reporting and analytics.
Identify and resolve bottlenecks and performance issues to enhance overall performance of data transfers.
Set up and manage job scheduling, automation, and monitoring to ensure timely and reliable execution of data processes.
Collaborate with the reporting and visualization analysts as well as the business analysts to design and implement data warehouses and data marts that align with current and future business needs.
Document processes, workflows, data mappings, and technical specifications.
Implement security measures and access controls to ensure data privacy and compliance with business policies.
Key Skills and Experience Preferred:
Bachelor’s degree in computer science, information technology, or a related field
4+ years of experience with data warehousing including analysis, design, development, implementation, testing, maintenance, quality assurance, troubleshooting and/or upgrading of software systems.
Knowledge of data acquisition and ingestion of structured and unstructured data sources ensuring quality and data integrity
Experience with at least one major cloud database (Azure DB preferred)
Strong SQL skills
Problem solver with strong attention to detail and excellent analytical and communication skills
Has a demonstrated passion that aligns with the core values of Congo Brands
Experience with MS SQL server developmentpreferred
Experience with NetSuite integrationpreferred
Exposure to a high growth and/or CPG environmentpreferred
Master’s Degree in computer science or information systemspreferred
Benefits:
Competitive Salary
Health Benefits:
Medical, Dental, Vision, Life Insurance, Disability, HSA / FSA / Dependent Care FSA
3 weeks PTO + 8 paid holidays
6 weeks paid parental leave
401(k) plan with employer match
Monthly cell phone stipend
Free products
AND MUCH MORE!
#PRIME
Congo Brands, LLC. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, or any other classification protected by Federal, state, or local law.