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IT Data Engineer Advanced Analytics (m/f/d)

ALDI SÜD
Mülheim (Ruhr)

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Job-Infos

Berufsfelder

  • Datenbankentwicklung / BI
  • Projektmanagement

Gewünschte Studienfächer

  • Elektrotechnik
  • Informatik
  • Informationstechnik
  • Mathematik
  • Naturwissenschaften
  • Wirtschaftsinformatik

Abschluss

  • Bachelor
  • Master/Diplom

Einsatzorte

  • Mülheim (Ruhr)

Fähigkeiten

  • Apache Hadoop
  • Apache Hive
  • Apache Spark
  • Business Intelligence
  • Data Warehouse
  • Machine Learning
  • Oracle DB - PL/SQL
  • Python
  • R
  • SAP
  • SAP Business Warehouse (SAP BW)
  • Scala
  • Support
Stellenbeschreibung

ALDI SOUTH IT ensures that everything runs smoothly, from the IT infrastructure to the software used: both at national and international level. Within the scope of transnational projects, our teams develop IT solutions for worldwide use at ALDI SOUTH. A modern application landscape needs standardised and flexible architectures to support business processes in the best possible way. At ALDI SOUTH, this means a worldwide integration of our business processes. Become part of our international team of experts and shape the future of retail at ALDI SOUTH IT.

Your Tasks

  • Supporting the operation of our Cloudera Hadoop-based DataLake
  • Integrating new data sources into our DataLake for permanent or temporary use by Data Scientists using the Hadoop EcoSystem (Sqoop, Hive, Impala)
  • Supporting Data Scientists in the implementation and optimisation of complex machine learning programs
  • Coordinating the international Data Engineer Community within the scope of our BI Governance as well as collaborating on further data science projects

Your Profile

  • Degree in computer science, mathematics, statistics or similar
  • Extensive knowledge of data processing and development environments in the Hadoop ecosystem (Sqoop, Spark, Hive, Impala, etc.)
  • Good programming skills (Python, R, Scala, Spark)
  • Knowledge of classic data warehouse operation (SAP BW or Oracle Exadata) as well as knowledge of SAP DataHub and Alteryx is advantageous
  • An affinity for new technologies in the big data environment and fluency in English

Our Benefits

  • Mobile working & flexible working hours
  • Great technologies
  • Corporate benefits
  • Holiday and Christmas bonus
  • Training & Development
  • Free fruit and beverages

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