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Senior Data Engineer (m/f)

  • Job type: Permanent
  • Location: Nuremberg
  • Salary: Competitive
  • Job reference: MJ-Big Data-17/01
  • Sector: BI & Big Data, Glocomms
  • Date posted: 17/01/2018
Job Description                                  

Looking for a Big Data Engineer, for collecting, storing, processing, and managing of Big data. One key area will the solution design for large-scale data-driven applications. Typical tasks include the implementation and operation of data pipelines, data flows, and data services. Another key area is the design and dissemination of data architecture blueprints across the company, and active collaboration in projects to implement the respective architectures.


Responsibilities 


-          Solution design for large-scale data applications
-          Implementing and managing of ETL processes and data transformations.
-          Implementing of data virtualization.
-          Implementing and integrating optimized data representations and from multiple data                               sources
-          Design and dissemination of data-driven application architectures

Skills and Qualifications


-          Understanding of Cloud computing principles
-          Hadoop Eco-System (Pig, Hive, and Impala etc.) with Hortonworks Data Platform (HDP) is a plus
-          Has integrated data from multiple data sources
-          Spark and Kafka
-          Microsoft SQL Server, Oracle Postgres
-          NoSQL databases, such as HBase, Cassandra, MongoDB, influxDB
-          ETL techniques and frameworks, such as Flume, Sqoop, PowerCenter
-          Proficiency with virtualization technologies (Docker, Kubernetes, others)


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