Követelmények

  • Be smart

             
  • Be hungry to tackle challenges

             
  • Like dynamic environments

             

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Budapest, Szép u. 4, 1053 Magyarország

 

Munka leírása

As a Senior Data Engineer you are responsible for architecting and implementing the infrastructure and services we use to integrate and process large datasets for our products to power them. Our products are integrated into the largest online stores in the US and Europe and provide shopping experiences that revolutionize ecommerce. 

Feladatok

  • Design, build, and maintain our data services
  • Write code that processes large datasets
  • Scale our services to hundreds of GBs of data
  • Automate data verification and data validation
  • Perform code reviews

Állás részletei

Szerződés típusa
Open ended
Fizetés típusa
Fixed monthly salary
Bruttó fizetéssáv
Nincs megadva
Bónusz
Stock options

Munkaidő

Weekly working hours
40 hours
Flexible working hours  - Upon discussion
Core time
10:00 - 16:00
Home office  - Upon discussion

Technology Stack

We believe in using the right tool for the right job instead of a particular set of technologies. Experience with our current stack is useful, but not required.

  • Frontend: ES6, AngularJS, React/Flux
  • Backend: Java 8 (gRPC, Spark), Go, MongoDB, PostgreSQL
  • Admin: Ruby/Rails (sidekiq), PostgreSQL
  • Data: Python (Airflow, Spark), EMR, Redshift, S3
  • DevOps: AWS, GitHub, Circle CI, HipChat, Sentry, New Relic, Docker, Packer, Terraform, Ansible
  • QA: BrowserStack, JIRA, Java (Selenium)

A munkahelyről

1

Is there lunch break?
Of course! And often we do it together.

2

Men/Women ratio
60% / 40%

3

How do we give feedback?
We have two-way sessions every 3 months

Mit csinálunk

We are a San Francisco based tech startup in the fashion/apparel retail space building innovative shopping experiences based on retailers' data. Our customer base includes some of the most iconic brands in the US such as Saks Fifth Avenue, Barneys New York, Bloomingdale's, Lands' End and others. Our services are branded experiences inside these stores and are used by over 40 million users a month.

Címkék

Python Spark Amazon Web Services Big Data Hadoop ETL

More on the job

Hadoop and Spark are at the front and center of our data infrastructure and runs in the AWS cloud.

This is an opportunity for you to directly impact our 50+ million users and to ensure their happiness. If you are passionate about working with data, big and small, this is your opportunity.

Értékeink

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1

Team orientation

2

Dependability

3

Customer care


Nézd meg neked mik a személyes munkavállalói értékeid
Mérd fel te is csapatod értékeit

 

The right tool for the job - Tamás

I always know why I do what I am doing and how the results will influence the company.

Ágnes Salánki Data Analyst

Don't hesitate too long. Go, try and learn.

Emese Pogácsás VP Engineering

Cutting edge technology used to solve real, hard problems.

Gábor Rátky CTO

 

Collaborative culture - Kyra

Benefits

  • Be part of a successful startup with phenomenal growth opportunities
  • Casual, fun, international team
  • Competitive compensation package, flexible vacation days
  • Stock options
  • Cool downtown office with games, beer, wine and more

 

Mentoring, mentoring, mentoring - Ágnes

You can touch the business - no matter which team you're at.

Julianna Göbölös-Szabó Data Scientist

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