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.