Data Engineering Intern
hace 3 semanas
We are Kuona, an AI technology company that empowers consumer products and retailers to maximize their sales and profitability through dynamic optimization of prices, promotions, and inventories. Our AI-powered platform helps top brands like Coca-Cola and Oxxo achieve their revenue goals.
This role is focused on finding and developing solutions that help Kuona build and maintain complex data pipelines and analytical solutions that deepen relationships with customer-provided information.
Key Responsibilities:
- Ensure the quality of presented data is reliable and aligned with its source quality.
- Collaborate with the data engineering and data science teams to drive and optimize analytical solutions and internal data systems.
- Contribute to data analysis and integration.
- Provide support for enhancing and addressing issues with developed and integrated systems.
Required Technical Experience:
- Desirable experience in data engineering, business intelligence, or engineering.
- Desirable experience analyzing and integrating data using Python and SQL to extract and transform data according to business rules and requirements.
- Desirable knowledge in Pandas, Relational and NoSQL databases, and AWS.
- Desirable knowledge in Airflow and AWS Glue.
- Desirable experience with large-scale data warehouses, web APIs, and database platforms for integrating internal and external data sources.
About Kuona:
- We value creativity and self-management, allowing team members to propose and create new features.
- We prioritize great results for our clients and an amazing employee experience for our people.
- We offer opportunities to learn and grow, with a focus on high-impact contributions.
- We provide flexibility and support for our employees to design their day and execute their projects.
Kuona provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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