HERE is a leader in navigation, mapping and location experiences. We combine highly accurate and fresh maps with cloud technology to enable rich, real-time location experiences in a broad range of connected devices from smartphones and tablets to wearables and vehicles. To learn more about HERE, including our work in the areas of connected and autonomous driving, visit http://360.here.com The Client Data Service team aims to provide HERE customers the most relevant and the most up-to-date maps.
As Data Warehouse Architect (m/f) you will take a key role in the evolution of our data warehousing systems. You will be shaping the future of our data warehouse solution based on big data technologies and be responsible for driving its implementation in accordance with decisive business requirements. Your Job: You will take control of the present data warehouse solution and be in charge of designing, validating and implementing improvements to the system architectureYou will make sure the system is reliably capable of handling large volumes of data and fulfill the necessary analytical processing load, while keeping maintenance efforts at bayYou keep an eye on providing robust, easy to use solutions, which allow efficient day-to-day operations by yourself and your team members, regarding system maintenance as well as the implementation of ETL pipelines and business reportsYou will be conceiving and implementing ETL jobs, integrating and aggregating data from many disparate internal and external sources, advancing data quality and consistencyYou will be in direct contact with stakeholders and analysts from business departments and game studios, understanding their business requirements and translating them into technical solutionsYour Profile:
Ihre Aufgaben: Installation und Betrieb von Hardware für Big Data Systeme, Installation und Betrieb von Software für Big Data Anwendungen (im Wesentlichen aus dem Hadoop Bereich) und die Bereitstellung der Big Data Umgebung für KundenBeratung und Unterstützung von Kunden bei der Durchführung von Big Data ProjektenUnterstützende Tätigkeiten bei Informationsveranstaltungen im Big Data Umfeld und bei Aktivitäten zur Erhöhung des Bekanntheitsgrades und der Sichtbarkeit von it-Aktivitäten bzw. Services im Big Data Umfeld Ihr Profil:
Major duties and responsibilities: Lead the development and optimization of Python and C/C++ software executed on cloud and deep learning infrastructures using state of the art practices in collaboration with the technical lead of the projectResponsible for defining and implementing QA and best software practices throughout the organizationTechnical survey of C/C++ and python standardsEssential skills and experience required: Deep knowledge of data structures and algorithmsStrong proficiency in Python and C/C++ programming languagesProfessional experience in software engineering, software design patterns and software testingProfessional experience using UNIX/Linux operating systemsGood team player and fluent EnglishStrong work ethicPreferred:
SAP’s vision is to help the world run better and improve people’s lives. As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.
As you know, SAP’s vision is to help the world run better and improve people’s lives. As THE cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries Run Simple. We empower people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.
Your Tasks Improvements of our software & systems architecture to growing challenges and data amounts while considering performance, scaling, and data qualityDevelopment, design and implementation of a company-wide data pipelineIntegration of data from various systems into flexible and consistent representationsDevelopment, coding, updating and maintaining database/data warehouse processesManaging the process that all people and IT systems in the organisation have an easy access to the data using various sources and interfacesClose collaboration with the engineering, product, and BI teams in an agile software development process Your Profile