Senior Big Data Engineer (noSQL/Hadoop) (10000-1154309420-S)
Work in Berlin for one of the world`s largest games websites and excite more than 125 million users.
This company´s IT architecture is based on the SOA paradigm and consists of several loosely linked services that communicate by sending messages to each other. On one hand, the architecture allows a horizontal scaling of databases and services. On the other hand, it offers the highest possible availability and robustness for the user.
As a Senior Big Data Engineer at GameDuell, you will be responsible for our Hadoop/Big Data infrastructure and you will serve as an interface between different teams.
Your Tasks
* Consolidation and optimization of the current Hadoop/Big Data infrastructure
* MapReduce Data Aggregation
* Design and extension of data models
* Database performance analysis, tuning and monitoring
* Effectively drive cross-team solutions
What we expect
* Completed university degree in the field of Technical Informatics, Computer Science or similar
* 5+ years of relevant working experience with the design and development of databases
* Profound knowledge of noSQL databases and technologies including Hadoop, Hive, Pig and Cascading
* Core competencies in JAVA necessary
* Strong knowledge of data structures, algorithms, enterprise systems, and asynchronous architectures
* Experience with the usage of Apache Storm and Kafka, Spark would be an advantage
* Fluent English is mandatory, knowledge of German very welcome
* Excellent analytical skills and the ability to work well in a team environment are also required
What we offer
* Demanding tasks and new challenges
* One of the best offices in Berlin: the company´s office in Mitte! Includes free soft drinks, fruit, pool table, table tennis, and a terrace
* Interesting possibilities for your personal development
* Developing the best products and inspiring our customers by providing an extraordinary game experience
* A great, performance oriented, friendly and international team is looking forward to meeting you
* Flexible work hours
* Timeframe: Immediately, full time
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