Data Engineering

Schaeffler es una empresa de tecnología global dinámica y su éxito ha sido resultado de su espíritu empresarial y su larga historia de propiedad privada. ¿Le parece interesante? Como socio de los principales fabricantes de automóviles, así como de los principales actores en los sectores aeroespacial e industrial, le ofrecemos muchas oportunidades de desarrollo.Goal of PositionData Engineering covers the collection, modeling, storage, processing and evaluation of extremely large (e.g. social media), rapidly changing (e.g. sensor data) and complex (e.g. ecological systems) data sets. ETL: Extract, Transform, Load (data). Data sets may origin and/or concern all information processes in business. The term complex refers to massive, interrelated and dynamic nature of data sets to be analyzed.Your QualificationsGraduate Degree in Computer Science or Information Systems, Applied Statistics or Mathematics, Software Engineering.3 to 5 years of working experience.Your Key ResponsibilitiesDevelop data pipelines and apply methods and tools to collect, store, process and analyze complex data sets, globally for assigned operations or functions.Design, govern, build and operate solutions for large-scale data architectures and applications across businesses and functions.Select, manage and work hands-on with big data tools and frameworks, and implement ETL (extract, transform, load) tools and processes as well as data virtualization and federation services.Engineer data integration pipelines and reusable data services using cross-functional data models, semantic technologies and data integration solutions.Define, implement and apply data governance policies for all data flows of data architectures with focus on the digital platform and data lake.Define and implement policies for data ingestion, retention, lineage, access, data service API management and usage, in collaboration with data management and IT functions.Contribution towards the continuous improvement of our data capabilitiesConduct business meetings with stakeholders to determine project requirements and milestonesEnable user self-service on data transformation and data visualization using Power BICollaborate with other IT teams to develop end-to-end custom data science solutions under agile frameworkDesign and implement large-scale data solutions using cloud technologies providing reliable data services for reporting, self-service BI or custom solutions taking data plausibility and performance into accountComo empresa global con empleados en todo el mundo, es importante para nosotros tratarnos con respeto y valorar todas las ideas y perspectivas. Al apreciar nuestras diferencias, inspiramos la creatividad e impulsamos la innovación. De esta forma, contribuimos a la creación de valor sostenible para nuestros grupos de interés y la sociedad en su conjunto. Juntos, avanzamos en cómo se mueve el mundo.Le esperan interesantes tareas y oportunidades de desarrollo excepcionales, ya que tenemos un impacto en el futuro con innovación. Esperamos su postulación.www.schaeffler.com/careersSu contactoSchaeffler Transmision, S. de R.L. de C.Valeria Escobar