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Data Engineering Intern

Remote: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Desirable experience in data engineering, Experience in Python and SQL, Knowledge of AWS, Pandas, and databases, Familiarity with Airflow and AWS Glue, Experience with large-scale data warehouses.

Key responsabilities:

  • Ensure quality and reliability of data
  • Collaborate with data engineering team
  • Contribute to data analysis and integration
  • Enhance developed data systems
  • Support analytical solutions
Kuona logo
Kuona Information Technology & Services Startup https://www.kuona.co
11 - 50 Employees
See more Kuona offers

Job description

We are Kuona (kuona.ai), an AI technology company that empowers consumer products and retailers to live up to their revenue goals and empowers our clients to maximize their sales and profitability through the dynamic optimization of prices, promotions, and inventories. Our AI-powered platform helps top brands like Coca-Cola and Oxxo maximize their profits and optimize inventories. We are looking for people who are world-class, curious, innovative, bright, and work to be better every single day!

We are currently looking for a Data Engineering Intern. With training, guidance, monitoring, and support from the team and team leader, 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.

Responsibilities:

  • Ensure that the quality of presented data is reliable and aligned with its source quality, and be familiar with various data sources and/or flat files for generating solutions.

  • This role collaborates 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, among other related tasks in the area.

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.

Your experience with Kuona:

  • Creativity: We like that all team members can propose and create new features
  • Self-management: Since we are a very horizontal company, we require that team members can decide for themselves what to work on and define priorities
  • Opportunities to learn: We offer all our employees a wide opportunity to learn things you probably wouldn't be exposed to in a corporate environment.
  • High Impact: You will be involved in the growth and evolution of the company, and all your contributions will be of high impact on the overall results.
  • We value our culture: We are fully committed to prioritizing great results for our clients and an amazing employee experience for our people.
  • Ability to work anywhere / Flexibility: We provide everyone the opportunity to design your day and execute your projects with flexibility and focus on your well-being.
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.

Required profile

Experience

Level of experience: Entry-level / graduate
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Creativity

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