Hadoop Jobs in Germany

In this role, you will develop data-driven analyses to optimize store productivity and layouts, analyze large datasets, and present clear recommendations to support strategic decisions.

In this role, you design scalable data pipelines, transform complex data, and collaborate with Data Scientists to deliver high-quality data products and develop innovative data solutions.

In this role, you will design and develop modern cloud data solutions, optimize data pipelines, and implement DevOps principles while collaborating closely with business departments.

In this dual study program, you will shape IT solutions by implementing programming projects in Java, Python, or Kotlin, utilizing modern frameworks, and participating in quality assurance through testing.

In this role, you will conduct customer analyses and marketing optimizations, create sales forecasts and product analyses, build dashboards for KPI tracking, and regularly report relevant insights to management.

In this role, you will develop data architectures and ETL processes, integrate large datasets from various sources, and ensure data quality. You will optimize data pipelines and collaborate closely with business units and Data Scientists.

In this role, you will develop and maintain scalable cloud data platforms, implement data pipelines using technologies like Apache Spark and Kafka, and leverage DevOps tools for automation and integration.

In this role, you will develop methods for Machine Learning and Big Data, build efficient data pipelines, train neural networks, and integrate AI algorithms into various systems.

In this role, you analyze customer behavior to optimize vehicles and powertrains. You conduct data research, develop use cases, and work agilely on their integration into operational systems.

In this role, you will build robust data pipelines and manage the data platform, collaborating closely with analysts while optimizing data quality and performance.

In this role, you develop technical solutions for efficient data storage and processing in cloud environments, creating powerful data pipelines using Python, Spark, and container technologies.

In this role you design telemetry and data architectures, ingest multi-vendor network metrics, analyze latency, throughput and packet loss, build dashboards and reports, and enable automated performance optimization.

In this role you develop predictive models in Python and PySpark, run PoCs, perform feature engineering, version models with Git, CI/CD and Model Registry, and operationalize solutions on AWS, Azure or GCP.

In this role, you analyze customer behavior to improve vehicles and powertrains, develop use cases, apply analytical methods, and support agile projects for data integration.

In this role, you will develop cloud-based data analytics platforms, design ETL pipelines, implement machine learning models, and work with large data sets using tools like Spark and Hadoop.