Data Engineer - Streaming Technology - Hadoop, hdfs, Java, Python at Zattoo (Berlin, Germany)

Zattoo is creating the future of television, live and on demand. 

We build apps for mobile, web and big screens like Apple, Android, Samsung, Amazon Fire TV, Xbox One and many more.

Data is a core advantage of OTT / unicast TV over traditional broadcast. We know exactly what content our viewers watch, how popular a show and how many seconds of each and every ad campaign is viewed. 

At Zattoo we are already reading a lot of our data, but we do not want it anymore, as we believe in the power of data. We want to make it an even stronger part of our everyday life. We want to build day to day business more on hard facts and less on good feeling. Therefore we are looking for an experienced Data Engineer to join our motivated team. You want to be in the center of our data collection and processing pipeline, and you want to get started with a scalable, reliable and robust pipeline that feeds into many other systems.

• Take over responsibility in designing and developing our data processing pipeline 
• Build up a centralized data warehouse in the long run that acts as the unique source of all relevant data 
• Work closely together with other engineers and the BI team to understand the data that we are collecting  
• Zattoo a 360 ° view on it’s users actions and journey’s
• Be in-house consultant for best track, store and access data

• Minimum of 3 years working as a Data Engineer
• Bachelor Degree in Computer Science or related studies
• Ability to maintain ETL stack
• Ability to engineer ETL processing through the whole data pipeline
• Fluent verbal and written English skills
• Strong communication and presentation skills
• Experience in the following technologies:
  • Jenkins
  • Various database technologies search as MySQL / Postgres / vertica / SAP HANA
  • SQL
  • Hadoop / hdfs (AWS-EMR, Pig, Impala, Apache Parquet)
  • tableau

• Bonus: Deep knowledge in ETL processing big amounts of data
• Bonus: Ability to write hadoop map reduce jobs
• Bonus: Dev skills to transform data via scripting language like ruby / python or java / golang
• Bonus: Experience with streaming frameworks such as spark / storm / samza / nimble
• Bonus: Experience with Kafka

• Flexible work schedules
• Cool and comfortable offices
• Relaxed atmosphere, no dress code
• Working with an awesome product
• Motivated and international team
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