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19 Aug 2014

Vollzeit Senior – Data Backend Developer (m/f)

Wimdu GmbH – Posted by Wimdu GmbHAnywhere

NOTE: This job listing has expired and may no longer be relevant!

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Jobbeschreibung

Founded in 2011, Wimdu has quickly developed to be Europe’s leading marketplace for private accommodation. Located in the heart of Berlin, Wimdu not only offers an exciting locale but the opportunity for unlimited potential and job stability within a rapidly expanding company. With the backing of our diverse team consisting of 250 employees spanning 27 nationalities, Wimdu is successfully supporting an ever-increasing user base with the knowledge and expertise of our world class employees.
Together we are building solutions every day to enhance the user experience and offer an authentic travel experience for those looking for a smart alternative to hotels. With a strong vision Wimdu is now looking for the most motivated of people who can join our innovative team to create something remarkable!
 
As Senior Data Backend Developer you will work with our Business Intelligence team to help us design and build out our data infrastructure.  We have multiple data sources including our production database, Webtrekk Analytics, Google Analytics, Google Adwords, Zendesk, etc.  Your job will be to help us bring those sources together into a data warehouse and enable all our teams to have better data visibility to do their job.
 
You must be an agreeable co-worker and enjoy working within an entrepreneurial company. In addition, you must also be a creative, hands-on, innovative problem solver with the vision to help us define the future of Wimdu.
 
Your Tasks:

  • Designing and building our data warehouse with our Business Intelligence team
  • Moving our ETL processes to a scalable architecture (probably Amazon Redshift, but you can help guide this decision)
  • Optimizing database performance and monitoring/improving data consistency
  • Help improve and develop new codes within an agile and fast paced work environment.
  • Become part of a dynamic team of first class developers while at the same time individually enhancing your part of the Wimdu platform.
  • Solve challenging problems that will revolutionize database computing in the cloud
  • Be involved in the fast growing, big data space

 
 
Your Profile:

  • First and foremost, you are a zealous developer (m/f) – an educational background in the field of Information Technology or similar is preferable, although passionate career changers are also welcome
  • You have 1+ years of Big Data and Data Warehousing experience
  • You gained experience in relational database concepts with a solid knowledge of SQL and PostgreSQL
  • You are open, communicative and enjoy working as part of a team
  • You have a strong understanding of the needs of an analytics/data team

 
Our Offer:
 
Wimdu offers a friendly and supportive environment with a high performance culture that offers many learning opportunities. Based in Berlin, you will be a part of our business intelligence and engineering team. Most importantly, your work will directly influence Wimdu’s worldwide success!
 
Our casual, relaxed work environment includes complimentary soft drinks and fruit that will enrich your days while working a part of our fantastic team. In addition, you will be able to choose your OS freely, while working with up-to-date equipment. Besides work, we offer several monthly events, summer and winter parties and sports activities, such as beach volleyball, dodge ball, football and running.
 
Please forward your application, including CV, cover letter and github profile by clicking the following link: http://hire.jobvite.com/j/?aj=oeGcZfwP&s=Geekjobs
 
We are looking forward to hearing from you!
 
 
 
 
Wimdu GmbH |Voltastraße 5| 13355 Berlin
http://www.wimdu.com/www.wimdu.com/jobs
 
 

How to Apply

Please forward your application, including CV, cover letter and github profile by clicking the following link: http://hire.jobvite.com/j/?aj=oeGcZfwP&s=Geekjobs
 
We are looking forward to hearing from you!

Job Types: Vollzeit.

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