Project description Development of a sales planning and analytics platform for a premium German OEM in the Asia region, enabling data-driven business decisions through scalable data processing, integration, and API-based data consumption. Responsibilities -Design and develop scalable data processing solutions using Python and Databricks-Build and maintain data pipelines for ingestion, transformation, and aggregation of business data-Develop REST APIs using FastAPI to expose data and analytical services to consuming applications-Design and optimize SQL queries and data models-Collaborate with business analysts, data engineers, and product stakeholders to translate business requirements into technical solutions-Deploy and maintain solutions on Microsoft Azure-Drive best practices in performance optimization, monitoring, testing, and code quality-Mentor junior engineers and contribute to architectural decisions SKILLS Must have - 5+ years of software/data engineering experience- Strong Python development experience- Hands-on experience with Databricks- Strong SQL and data modeling skills- Experience developing APIs with FastAPI- Experience with Azure cloud services- Understanding of ETL/ELT concepts and data pipeline design- Experience with Git and CI/CD pipelines Nice to have Experience with Azure Data FactoryExperience with Azure Synapse AnalyticsKnowledge of Spark/PySparkExperience building data products for Sales, Marketing, or Business PlanningExposure to machine learning workflows #J-18808-Ljbffr
Senior Data Backend Engineer (Python / Databricks / Azure) in Sachseln Arbeitgeber: Luxoft Germany
Als Office Manager (w/m/d) in unserem Stuttgarter Team bieten wir Ihnen die Möglichkeit, eine zentrale Rolle in der Büroorganisation zu übernehmen und gleichzeitig ein positives Arbeitsumfeld zu fördern. Wir legen großen Wert auf eine offene und unterstützende Unternehmenskultur, die Raum für persönliche und berufliche Weiterentwicklung bietet. Zudem profitieren Sie von flexiblen Arbeitszeiten und der Chance, in einem dynamischen Team zu arbeiten, das Innovation und Zusammenarbeit schätzt.