Back-end Engineer - Madrid, España - Carto

Carto
Carto
Empresa verificada
Madrid, España

hace 2 semanas

Isabel García

Publicado por:

Isabel García

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Descripción

Everything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the "where" and the "why" of their business.

CARTO is the leading cloud-native location intelligence platform, trusted by data scientists, data analysts and developers from companies such as Vodafone, IKEA, BT, Coca-Cola and Mastercard to provide geospatial insights for use cases such as site selection, geomarketing, route optimization, network planning and much more.


With an exceptionally diverse team of 170 people spread across the US and Europe, CARTO (backed by Accel Partners, Salesforce Ventures, Earlybird Ventures, and Kibo Ventures, among others) is changing the way companies analyze location data - making it simple to do this straight out of modern, cloud data warehouses.

Redefining its category, the company has grown rapidly in recent years providing a compelling alternative to legacy GIS software.


CARTO with its new CARTO 3 platform has built the most advanced location intelligence platform which connects directly to the most used Data Warehouses in the industry such as Google's BigQuery, Amazon Redshift, Snowflake and Databricks; thus, allowing our partners and customers to do location intelligence and geospatial analysis directly where their data lives opening limitless possibilities for their businesses.


What are we looking for


We are looking for an experienced Backend Engineer to join CARTO's product team to build the next generation geospatial platform running on top of the most popular data warehouses: BigQuery, Snowflake, Redshift and Databricks.

In CARTO we work at a large scale. And when we say large scale, we mean it.


Rough numbers:

  • Tens of millions of map views per month.
  • Thousands of customers. Hundreds of thousands of users.
  • Thousands of databases.
  • Billion API calls per month.
If you love to be in contact with top engineers around the world in geospatial, this is your place


Location
The position is open to remote.

In fact, we are mostly working remotely right now, but we do have offices in Madrid, and Seville in Spain.

So ideally, you would be in a compatible time zone with Central European Time, but we are flexible.


You will:


  • Build the nextgeneration geoanalytics platform for analysts, developers and data scientists.
  • Push Google BigQuery, Snowflake, Redshift and Databricks to the limit. You'll also understand the internals of these data warehouses. You'll have regular meetings with the geo team leads of those data warehouses.
  • Work side by side with the team lead to help solving technical challenges.
  • Communicate periodically with your work team, via Slack and daily meetings.
  • Help to define, plan and organize work tasks in 2week iterations with Shortcut.
  • Contribute to opensource projects in GitHub (part of our work is opensourced).
  • Be ready to work and collaborate with engineers from opensource communities like PostgreSQL, GeoParquet, GDAL, , PyData, and from companies like Uber, Microsoft, Google or Snowflake

You offer:


  • Initiative, proactivity, a cando attitude, and eagerness to learn
  • Curiosity, energy, and a collaborative mindset (code reviews, pair programming, promote teamwork, succeed together).
  • A solid 5+ years experience as a backend developer, with a mature approach to the job (git/GitHub, documentation, testing,...).
  • 3+ years working with Node JS and SQL databases.
  • Ability to help increase the technical level of the backend team.
  • Demonstrable experience in building scalable APIs and authentication.
  • You've worked before with Typescript and Docker.

Nice to have:


  • Experience working with geospatial technology. Ideally PostGIS, S2, H
  • Demonstrable work with Redshift, BigQuery, Snowflake or Databricks
  • Knowledge of highperformance databases and distributed computing
  • Experience with Google Cloud Platform or AWS

We offer:


  • Competitive, resultsbased compensation
  • Access to our employee stock options plan
  • Private medical insurance
  • Flexible work hours in a focused but casual environment
  • Education Stipend
  • Flexible compensation
  • English classes
  • A big vision: to help the world use locationbased data to make better decisions. We believe that openness and sustainability are baked into this vision, and we're sharing it with the world.
  • Contribute to a platform used by top companies around the world. Your work will have a direct impact on our users and clients.

To apply
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