Data Engineer Brazil

Artefact; São Paulo; Teletrabalho; BRL 40.000 - 80.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a Data Engineer, where you'll design and maintain scalable data pipelines using Apache Airflow. This role offers the chance to collaborate with talented teams while optimizing ETL processes and ensuring data integrity. With a focus on innovation and a supportive culture, you will thrive in an environment that values curiosity and entrepreneurship. Enjoy perks like flexible work arrangements, comprehensive insurance, and opportunities for professional growth. If you're ready to make an impact in the data-driven world, this is the perfect opportunity for you!

Serviços

Meal/Transportation Allowance

Free Office (work from home or anywhere)

Gympass

Life Insurance

Health Insurance

Dental Insurance

Bi-monthly Meetings

Woba (coworking spaces)

Semi-annual evaluations

Qualificações

• Hands-on experience in Apache Airflow for data pipelines.
• Degree in relevant fields such as Computer Science or Engineering.

Responsabilidades

• Design and maintain scalable data pipelines using Apache Airflow.
• Collaborate with teams to ensure reliable data delivery.
• Optimize ETL processes for performance and scalability.

Conhecimentos

Apache Airflow

Data Pipeline Development

ETL Optimization

Data Architecture

Collaboration

Fluent English

Formação académica

Degree in Computer Science

Degree in Statistics

Degree in Engineering

Degree in Economics

Descrição da oferta de emprego

Who we are

At Artefact LatAm, we believe in and live a culture based on empathy!

A healthy work environment is a place where all voices are heard, respected, and valued.

Our commitment is to build a more diverse and inclusive environment, because empathy is for everyone, regardless of ethnicity, color, gender, sexual orientation, gender identity, disability, or religious belief.

We want incredible minds and hearts to join us! Come be Artefact!

What you will be doing:

We’re looking for a skilled Data Engineer with hands-on experience in Apache Airflow to join our data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and workflows that support our analytics and data-driven products.

• Develop, schedule, and monitor data pipelines using Apache Airflow.
• Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery.
• Optimize ETL processes for performance, reliability, and scalability.
• Maintain and improve data architecture, ensuring data integrity and security.
• Troubleshoot and resolve pipeline failures and performance bottlenecks.

What we are looking for:

• A degree in Computer Science, Statistics, Engineering, Economics, or a related field.
• Curiosity: You are always looking for innovative solutions for your clients. You get involved in the entire value chain, which can include front-end, back-end, big data infrastructure, ML models…
• Collaboration: Knowledge sharing is essential to you, and you actively contribute to spreading information within Artefact.
• Entrepreneurship: You bring solutions, new ideas, and innovations.
• Fluent English: You are comfortable communicating in English, as it is essential for working in our international environment.

What We Offer:

• Meal/Transportation Allowance (VR/VT)
• Free Office (work from home or anywhere you want!)
• Gympass
• Insurance: Life, Health, and Dental
• Bi-monthly Meetings (our “Get Together” where we meet to be together, with workshops, lectures, training, and a happy hour!)
• Woba (you can book coworking spaces anywhere you want!)
• Semi-annual evaluations (with opportunities for promotion)

Why you should join us

• Artefact is the place to be:come and build the future of marketing
• Progress:every day offers new challenges and new opportunities to learn
• Culture:join the best team you could ever imagine
• Entrepreneurship:you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Select...