Junior Data Engineer
Alvorada Dev · Brasil
Não informadoNão informadoJúnior
Publicada há 4 dias
Sobre a vaga
Remota
BR
Compensation: USD 3,000/month
Advanced English
What we're building
Teams make important operational decisions every day using data scattered across systems that rarely talk to each other. We're building a product that brings that data together, gives teams a clear view of how their business is running, and helps them decide what to do next.
The role
You'll build and run the pipelines that bring data into the product. You'll make sure the data is clean, complete, and accurate. This is an early-career role for someone resourceful who wants to learn quickly and take on real responsibility from day one. You'll report directly to a co-founder.
What you'll do
BR
Compensation: USD 3,000/month
Advanced English
What we're building
Teams make important operational decisions every day using data scattered across systems that rarely talk to each other. We're building a product that brings that data together, gives teams a clear view of how their business is running, and helps them decide what to do next.
The role
You'll build and run the pipelines that bring data into the product. You'll make sure the data is clean, complete, and accurate. This is an early-career role for someone resourceful who wants to learn quickly and take on real responsibility from day one. You'll report directly to a co-founder.
What you'll do
- Build and run data pipelines. Use Python and SQL to bring data from POS systems, distributor invoices, accounting tools, and other sources into Postgres. Keep the pipelines running every day.
- Make the data trustworthy. Investigate missing records, duplicates, and discrepancies. Trace issues to their source and fix them so restaurant operators can rely on the data.
- Onboard new customers. Work through differences in how each restaurant group stores its data and get it flowing into the product quickly and correctly.
- Be resourceful. When a source lacks a usable API, find a practical way to get the data in, whether through a script, an export, or another workaround. Improve the solution once it's running.
- Communicate clearly. Explain what you found, what's broken, and what you changed in plain language to engineers and non-engineers. Flag problems early.
- Learn the business. Understand how restaurants manage food costs, labor, and invoices so you can tell when the data looks right and spot when something is off.
- Ability to use AI to build reliable solutions
- Strong Python and SQL skills developed through work, internships, coursework, or personal projects
- Some experience moving data between systems and cleaning it along the way
- Attention to detail and the persistence to investigate numbers that look wrong
- Clear communication in writing and on calls, with a habit of asking questions early and keeping people updated proactively
- Resourcefulness and the ability to get things working with the tools available
- Eagerness to learn and openness to feedback
- Familiarity with browser automation
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