Data Engineer in Uber

Closed job - No longer accepting applications

Cornershop by Uber is an on-demand grocery app that gives you free time, while your groceries and errands are delivered right to your door. We're a fast growing company operating throughout Latin America and North America, and since our acquisition by Uber, we just keep getting bigger. Relaunched under our new brand name. Cornershop by Uber, we’re looking to avoca-grow our team. So, if you want to work in an innovative environment, with a startup footprint, people who live for bad jokes and dad humor, you've come to the right place!

How many engineers does it take to build an app that simplifies grocery shopping for users? At least 600, because that’s how many we have in our Engineering team, working from different countries in South and North America. The Engineering team is dedicated to producing intuitive technology for customers, shoppers and stores and solving challenges along the way.

Apply only from getonbrd.com.

Data Engineer

At Cornershop, we are looking for a Data Engineer. We are facing new challenges related to the storage, processing and use of large volumes of data. The Data Engineer will work on the analysis, design and implementation of Big Data solutions together with different teams to scale multiple aspects of the organization. These solutions require various technologies and architectures to filter, transform and store data so that engineers, data scientists and business intelligence analysts can use it regardless of the scale of the data.

What will you do?

Work on the analysis, design and implementation of Big Data solutions, together with different teams to scale multiple aspects of the organization.
Include various technologies and architectures in these solutions to filter, transform and store data so that Engineers, Data Scientists and Business Intelligence Analysts can use it regardless of its scale.

What will you need to succeed in this role?

Experience with relational and non-relational databases.
Experience in data loading, using Batch and Streaming processes.
Experience with Apache Spark but previous experience with other distributed systems also are appreciated, like Hadoop, Cloudera, Databricks, Cassandra, HBase, Hive, Samza, Faust, Kafka, etc.
Proficiency in Python programming language.
Familiarity with Cloud technologies. We use AWS and Google Cloud, but experience with others cloud providers is valid.
Experience in the creation or development of Data Lakes/Data Lakehouses/Data Warehouses/Datamarts.
Experience in projects using Python.
You work proactively, responsibly and creatively.

We would love you even more if you...

You have experience with Hudi or Delta Lake.
Embrace diversity, interculturality and be tolerant.
You like to constantly learn not only about your work: have a hobby, like doing things and be a positive contribution to the team.

Some of the benefits of working with us

Additional vacation time
Cornershop Pop subscription
Health, dental, and life insurance
Tech platform to enhance your knowledge (O'Reilly)
Free language lessons
Online fitness programs
Moving day (two days per year)
Marriage or civil union benefits (days off)
Paternity/maternity benefits
Partnerships with banks
Partnership with Caja Los Andes
Wellness programs

En Cornershop, estamos enfocados en promover un ambiente laboral inclusivo y accesible, donde todas las personas se sientan valoradas, respetadas y apoyadas. Continuamos construyendo una fuerza de trabajo que refleje la diversidad de nuestros clientes y comunidades en donde vivimos y servimos.

Si necesitas una adaptación para completar el proceso de aplicación, envía esa información aquí o avísale directamente a nuestro equipo.

GETONBRD Job ID: 16041

Flexible hours Flexible schedule and freedom for attending family needs or personal errands.

Life insurance Uber pays or copays life insurance for employees.

Digital library Access to digital books or subscriptions.

Health coverage Uber pays or copays health insurance for employees.

Computer provided Uber provides a computer for your work.

Informal dress code No dress code is enforced.

Vacation over legal Uber gives you paid vacations over the legal minimum.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in Chile.