Hadoop Jobs in Germany

In this role, you will work in agile teams on exciting IT projects, perform programming in languages such as Java and Python, and utilize modern tools for software development.

In this role, you will develop data-driven solutions, design and maintain data pipelines and models on Google Cloud, and optimize them with Apache Spark and Airflow for enhanced decision-making.

In this role, you develop scalable applications for data consolidation and analysis for machine learning, implement ML pipelines, and work closely with data scientists on AI projects.

In this role, you develop solutions for efficient data storage and processing in cloud environments and implement data processing pipelines using Python and Spark for complex datasets.

In this role, you will develop data pipelines and workflows to analyze and organize complex datasets. You will closely collaborate with a multidisciplinary team to design analytical solutions for our clients.

In this role, you will manage a Big Data platform, develop innovative solutions, automate tasks using Infrastructure as Code, and share your knowledge with colleagues and students.

In this role, you will manage a Big Data platform, design innovative solutions, automate processes, plan projects across Germany, and share your knowledge with colleagues and clients.

In this role, you will develop machine learning models for processing large datasets and optimize existing algorithms for real-time applications. You will also conduct A/B testing and explore new data sources.

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 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 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 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.

In this role, you will develop data pipelines and container-based analytics platforms, implement CI/CD processes, and execute business requirements using AWS, Azure, or GCP.

In this role, you will develop innovative data analytics solutions using modern technologies and create ETL pipelines for complex datasets on cloud platforms focusing on machine learning and big data.