Requirements

  • Be smart

             
  • Be hungry to tackle challenges

             
  • Like dynamic environments

             
Budapest, Szép u. 4, 1053 Magyarország

 

Job Description

As a Data Engineer you are responsible for building the jobs and processes we use to integrate and process large data sets for our products. Our products are integrated into the largest online stores in the US and Europe and provide shopping experiences that revolutionize ecommerce. You will be directly responsible for developing and maintaining the data infrastructure that powers our products.

Responsibilities

  • Make all of our data available for everyone
  • Write code that processes large datasets
  • Verify that acquired datasets follow our specs
  • Perform code reviews

Job details

Term of employement
Open ended
Salary Type
Fixed monthly salary
Gross salary range
Not specified
Incentives
Stock options

Working Hours

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

What We Do

Based in San Francisco with a development office in Budapest, Hungary, Secret Sauce Partners enables the world's largest ecommerce companies to provide the best shopping experiences online. Our products are branded and built into ecommerce web sites and are actively used by over 40 million users. We are well funded, fun, dynamic and growing fast. Join us!

More on the job

Hadoop and Spark are at the front and center of our data infrastructure. If you do not have much experience with Hadoop, this is an opportunity for you to receive training and learn about the big data technology ecosystem surrounding Hadoop.

This is an opportunity for you to directly impact our 40 million users and to ensure their happiness. If you are passionate about working with data, big and small, this is your opportunity.

 

Collaborative culture - Kyra

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)

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

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

Julianna Göbölös-Szabó Data Scientist

About the workplace

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

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

Ágnes Salánki Data Analyst

Cutting edge technology used to solve real, hard problems.

Gábor Rátky CTO

Our values

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1

Team orientation

2

Dependability

3

Customer care


See your personal employee values
Find out what your team values are

 

The right tool for the job - Tamás

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

Emese Pogácsás VP Engineering

 

Mentoring, mentoring, mentoring - Ágnes

Tags

Amazon Web Services Big Data ETL Spark Scala Hadoop

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