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Data Analytics Architect (m/f/diverse)
Frankfurt
Aktualität: 01.12.2022

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01.12.2022, Continental AG
Frankfurt
Data Analytics Architect (m/f/diverse)
Design detail intensive end-to-end architecture of data analytics solutions from concept to operations including strategies to map data sources and their interfaces, data ingestion and assessment of data structures, pipelines and models, compute, and storage infrastructure Research, prototype and productionize data and model pipelines together with data engineers to drive PoCs and MVPs leading to solutions in production Lead the development, testing and deployment of applications by leveraging state-of-the-art data analytics / machine learning methods, data engineering and DevOps tools Work with business partners to understand and translate functional requirements into technical requirements Participate in reviews of the designs, prototypes, and other technical deliverables to ensure they fulfill functional requirements and quality standards Develop standards, patterns, best practices for reuse and acceleration Provide quality documentation of your design (process and workflow) and implementation including experiment tracking / logs Take end-to-end responsibility of a module, work independently and where required take initiative to collaborate Your opinion counts in our business decisions
Academic degree in informatics, computer science, or comparable qualification Application development skills - ability to set-up a backend (Python or similar) and frontend (node.js or similar) Architecture - the ability to create and explain 3-tier architecture diagrams, system context diagrams, and system interaction diagrams Project based experience of implementing data pipelines and application workflows in cloud (AWS, Azure) or SAP HANA Project based experience of working with ETL tools and big data workloads with Apache Spark or Hadoop Experience with SQL (SQL Script, T-SQL) and in-memory database technologies like Oracle / MS SQL Server / SAP HANA Technical background in algorithmic processing (AI/ML workloads) and advanced analytics concepts Working knowledge of modern web architecture design including API development (REST, XML, JSON etc.) Experience or know-how of working with agile methods (Scrum or Kanban) Business fluent in English (written and spoken), German language skills desirable Excellent communication skills and capability to present technological concepts coherently to the business stakeholders Experience with software development practices like DevOps and CI/CD tool chains (such as Jenkins, GitHub Actions) Experience with container orchestration systems (such as Docker, Kubernetes, GitHub, Kubeflow) In a continuous learning environment, you have opportunities to collaborate and exchange with experts in and outside the company You will have access to state-of-the-art compute infrastructure both on-premises and in cloud as well as frameworks for machine learning, NLP, knowledge graphs, smart factory technologies, S/4HANA and dashboarding You'll encounter a participative leadership style which is adapted to a modern digital environment, focused on networking and a strong 'freedom to act' attitude

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Bundesland

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