SWISS INTEGRATED SERVICES Bucharest

Vehicles are no longer simple mechanical devices but are controlled by dozens of digital computers coordinated by internal networks. While all this technology allowed better personalized experiences, seamless integration into a persons lifestyle, differential services, predictive diagnostics and safer driving conditions, the increase in complexity drives the need for advanced security and data solutions. Job Requirements Work within the Enterprise BI team, supporting the creation of data pipeline processes for ingesting data at large scales Work directly with Data Modelers, Enterprise Architect, and Analysts, ensuring that business requirements are being met Directly work with the Data Engineers and Data Modelers to understand the source and target structures Coordinate with the analysts and report developers to ensure data can be easily digested by Business Intelligence tools Be able to straddle differing subject areas such as in game vs business data sources. Basic Qualification Bachelors or Masters degree in Computer Science, Computer Engineering or related fields. Minimum one year of experience with Kafta, HDP, Spark, AKKA, SCALA, R, Python, A clear understanding of both row and columnar storage databases Strong SQL skills able to query data sources and generate results from complex structures -Comfortable working with structured, semi-structured, and unstructured source data Preferred Qualifications -Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets -Experience building data products incrementally and integrating and managing datasets from multiple sources ;Query performance tuning skills using Unix profiling tools and SQL.