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Telenor d.o.o. raspisuje oglas za poziciju Data Warehouse Integration Developer / Architect. Za obavljanje ovog posla neophodno je dobro poznavanje jezika na kojem je oglas napisan. Ukoliko tekst oglasa ne razumete u potpunosti, savetujemo vam da razmislite da li je ovo pravi posao za vas.

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Data Warehouse Integration Developer / Architect

Belgrade

For the good start, you will need:

  • University degree in Computer science or related
  • Knowledge of Oracle SQL, PL/SQL
  • Knowledge of the Oracle ETL technology and tools (OWB, ODI) is advantage
  • Knowledge of analytical querying extensions is advantage
  • Understanding of relational and multi-dimensional data design and development techniques
  • Proven experience in: analyzing, designing, automating and optimizing ETL and BI reporting processes
  • Preferably 4 years of working experience

Your Responsibilities:

  • Responsible for maintaining high level of competence in Business Analytics Area
  • Designing, developing, testing and documenting high quality IT solutions
  • Performing logical and physical data modelling in line with architecture guidelines
  • Preparing development specifications for external vendors and outsourcing companies, manage and perform development with external vendors
  • Identification of new source systems and applications
  • Design and implement new ETL development through communication with source system responsible, business analyst and business requester
  • Design and Development of OLAP applications
  • Identify and perform performance tuning opportunities, optimize Data Integration and Business Intelligence applications
  • Analyze Data Quality issues and participate in resolving
  • Propose best practices/standards

Will be a plus:

  • Ability to design and develop scalable Big data architecture
  • Experience with major Big data technologies and frameworks like Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, Cassandra, Flink, Kafka, Nifi
  • Knowledge of designing, implementing and deploying high-performance, custom applications at scale on Hadoop
  • Knowledge of programming and scripting languages such as Scala, Python or Java
  • Knowledge of Apache Spark
  • Experience with creating Scala or Python Spark jobs for data transformation and aggregation
  • Experience in client-driven large-scale implementation projects
  • Data Science and Analytics experience (Machine Learning, Recommendation Engines, Search Personalization)
  • Understanding of Agile (Scrum)
  • Experience with large Business Analytics systems technology, configurations, planning capacities and performance

You will enjoy:

  • Working in comfortable and functionally equipped working space
  • Attractive salary package including benefits such as company phone and number with unlimited internet and annual health check
  • Friendly and dynamic team who will support you from the beginning
  • Be part of a highly competent and collaborative environment

Please apply by 22.08.2019.

Apply here
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