Belgrade

Professional Tasks:

• Extraction and preparation of the data from the source systems and provision for data analysts, data scientists and end users on an SQL database under development of extensive ETL workflows.
• Establishment of best-practice data architectures in close cooperation with IT and the specialist departments
• Data preparation and further processing for provision in dashboards, machine learning and statistical models
• Planning and implementation of the go-live of machine learning models and support of IT during implementation in the core systems
• Optimization of the data science infrastructure with regard to performance, versioning and data field catalogs
• Construction, operation and quality assurance of an analytical data warehouse
• Automation of manual processes
• Development of data applications such as reports, web forms and scripts

Your qualifications:

• Bachelor's degree in computer science, business administration, engineering or a related discipline with an information technology focus
• Minimum three years of experience in the shaping and development of data analytics platforms
• Demonstrated practice in SQL, Linux-Shell and Python or R or Scala
• Experience in a graphical ETL tool e.g. Talend, Alteryx, SSIS or the like
• Knowledge of the structure of databases and data pipelines under connection of most diverse source systems
• Knowledge in the development of algorithms
• Experience in the use and/or extraction of data from SAP ERP systems is an advantage.
• A basic understanding of data science, machine learning or statistics is an advantage.
• Structured, independent and result-oriented way of working
• Analytical in his or her approach to problem solving with a focus on managing in a team environment with attention to results and with a sense of urgency
• Excellent organizational skills
• Very good strategic, solution and cost-oriented thinking
• Fluent language skills in English