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.
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.
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