Junior Data Engineer

GEP

São Paulo

Presencial

BRL 48 000 - 78 000

Tempo integral

Há 3 dias
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Resumo da oferta

GEP in São Paulo is seeking a Junior Data Engineer to support data infrastructure and build scalable data pipelines. You will work with senior engineers and cross-functional teams to extract, clean, and load data from web sources using Python and common libraries.

Responsibilities include developing web scrapers, ensuring data quality, integrating new data sources, and contributing to Databricks projects while learning and applying data engineering concepts such as Airflow and HTML parsing.

Qualificações

  • Bachelor’s degree in Engineering, Computer Science, Information Technology, or related field, or equivalent experience.
  • 0-2 years of experience in data-related roles (internships or academic projects accepted).
  • Fluent in Portuguese; English desirable for collaboration.

Responsabilidades

  • Assist in designing and developing scalable web scrapers for analytics and reporting.
  • Collaborate with analysts to ensure data quality and availability across projects.
  • Perform data extraction from websites with basic dynamic content handling and anti-scraping measures.
  • Integrate new web data sources into existing systems with accuracy and compatibility.
  • Troubleshoot scraping issues and document processes for repeatability.
  • Develop data engineering projects on Databricks.

Conhecimentos

Python data tooling
Web scraping
Data engineering concepts
Team collaboration

Formação académica

Bachelor’s degree in Engineering/CS/IT or equivalent

Ferramentas

Databricks
Airflow
BeautifulSoup
Scrapy
HTML/CSS parsing

Descrição da oferta de emprego

1 - 3 Years

Full Time

Job Description

Welcome to GEP

Who We Are

GEP, with over 30 offices internationally, is the fastestgrowing procurement and supply chain solutions firm – consulting, software andmanaged services. GEP has succeeded by being smart and creative; solvingcomplex problems and finding opportunities for the world’s largestorganizations.

How You Grow at GEP

We recognize people who make a genuine difference, workhard and drive achievements. Results are noticed and rewarded. It’s how youwill grow a career at GEP, and in a much shorter time frame than at otherfirms.

Celebrating Everyone

GEP succeeds through the ideas and creativity of our teammembers so we embrace people of all experiences, nationalities, abilities,cultures, races, gender identities, sexual orientations and ages. What makesyou unique and different is celebrated and will help GEP stand out even more.And we are a women-founded and -owned company so our foundation is making GEP agreat place to work for women, a place where women can learn, advance and giveback.

What you will do

As a Junior Data Engineer at GEP, you will play a role in supporting our data infrastructure and ensuring the smooth flow of information across systems. You will work closely with senior engineers and cross-functional teams to build and maintain data pipelines, contributing to data-driven decision-making processes. You will:

  • Assist in designing and developing scalable web scrapers to support business analytics and reporting needs.
  • Collaborate with analysts and teams to ensure quality and availability of scraped data for various projects.
  • Perform data extraction from websites under guidance, handling basic dynamic content and anti-scraping measures.
  • Support the integration of new web data sources into existing systems, ensuring compatibility and accuracy.
  • Contribute to troubleshooting scraping-related issues and provide timely resolutions.
  • Document scraping processes and workflows to ensure transparency and repeatability.
  • Develop data engineering projects on Databricks
What you should bring
Education and Experience
  • Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field, or equivalent experience.
  • 0-2 years of experience in data-related roles (internships or academic projects are considered).
  • Fluent in Portuguese. Proficiency in English (spoken and written) is desirable due to potential collaboration with global teams. Spanish is a plus.
Other Skills
  • Knowledge of Python programming language focused on data (Pandas, Plotly, Streamlit).
  • Familiarity with web scraping tools (e.g., BeautifulSoup, Scrapy) and HTML/CSS parsing.
  • Understanding of web scraping concepts, including handling proxies and basic anti-scraping techniques.
  • Understanding of data engineering concepts and tools like Airflow and Databricks
  • Strong problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment and adapt to feedback.
Closing Statement

As GEP experiences active and rapid growth, we’re looking for passionate individuals who want to flourish along with us — helping to pave the way to a brighter future.

Are you one of us?

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, protected veteran status, disability status, or any other characteristics protected by federal, state or local law. We are committed to hiring and valuing a global diverse work team. GEP is proud to be an EEO/AA employer M/F/D/V.

#WeAreGEP

What makes us really stand out from the crowd?

We value and invest in talent. We respect honesty and individuality. We put our clients and our people first. This is what makes us special, and why GEP is an exceptional place to work.

GEP’s strength is its people. As a leader in procurement and supply chain solutions, we are committed to providing innovative solutions that create a competitive advantage for enterprises worldwide. Our leadership helps us maintain this focus and drives our commitment to deliver the highest value to our clients.

GEP’s leadership is a collective of some of the most experienced and accomplished professionals in the industry. Blending together strong business acumen with rich technical expertise, they are leading GEP’s global workforce into the future

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