Are you a Data Engineer who gets excited when talking about startups? Then, keep reading because Picker is looking for a developer like you!
We are helping Picker’s team to find a Data engineer who wants to be part of their project in which users can recommend and discover products in a direct and super intuitive way. You can join to the team in a remote format or onsite!
First things first... top project details!
- Company / team:
You’ll join a cross-functional and multicultural team of 15 people to revolutionize how people recommend and buy products.
If you like to come up with new ideas and keep innovating… here you’ll feel at home! 🙌
We are looking for someone whose friends describe as proactive and autonomous person. Someone who doesn’t stand still and is always looking for new ways of doing things.
- Day to day:
In your day to day you’ll be part of the internal Tech team and the CTO. The company's core will be your mission, and you’ll be focused on building handling data pipelines for their Products Database.
Your mission 🚀
You'll be handling data pipelines (ETL) and work with Data Science libraries in Python (Pandas, Numpy and Scilearn)
You'll be building API integrations and connecting different services together.
You'll be providing your expertise and help out anywhere to get the job done.
Perks, my friend!
Competitive salary band: till 60K
Part remote: 3 days at home. Covid's changed how they work and they've adapted.
Amazing office with everything you need: fruit, great coffee, relaxing areas...
Work with an ambitious team ready to kick-off the market.
Languages courses are included!
If this is you – holy cow! 🐄
You have ETL experience and expertise (i.e. they expect you to own the Data Pipeline architecture).
Super if you are strong with a popular ETL language (most likely Python).
Fantastic if you have Scraping experience (e.g. Scrapy or similar lib).
You have MySQL experience.
If this is also you – JACKPOT! 🍒🍒🍒
A strong drive to continuously learn and teach new technical skills. Always ready to keep improving ⚡
Experience with Algolia or ElasticSearch.
Experience in Continuous Integration/Deployment.
Experience with AWS Lambda.
Let’s have a chat and GetWith us! 😊