Hadoop Jobs in Frankfurt

In this role, you advise clients on architectural decisions for data solutions, implement scalable cloud infrastructures, and support teams in agile project execution using technologies like Kubernetes and Apache Kafka.

In this role, you design BI/BIG DATA system environments, install systems and applications, optimize operations, conduct error analysis, and prepare changes for production deployment.

In this role, you will collect and analyze datasets, design analytics solutions for risk management, and develop dashboards and data pipelines for team members. You will also train and support colleagues in data-related tools.

You build scalable ETL/ELT pipelines and data models, create Data Lakes/Warehouses, implement CDP integrations (Tealium), manage APIs, ensure GDPR-compliant quality and use Snowflake, Databricks, Python, SQL and cloud services.

In this role, you will develop ETL data pipelines, analyze large datasets, and create predictive models to support informed business decisions while collaborating closely with various stakeholders.

In this role, you will develop ETL data pipelines, analyze large datasets, and collaborate closely with stakeholders to create predictive models and support data-driven decisions.

In this dual degree, you will learn to shape modern software development projects, working with programming languages like Java and TypeScript across various areas of REWE digital while applying technologies like Kafka and Angular.

In this role, you will develop scalable data architectures in the cloud, design solutions for Data Analytics and AI applications, and lead projects focused on real-time data processing.

In this role, you will develop modern software solutions, optimize processes, implement ETL processes, and support the team in the digital transformation of foreign trade statistics.

In this role, you conduct extensive data analyses, develop algorithms for pattern recognition, and present your findings through dashboards. Additionally, you optimize big data architectures and analyze user data for decision making.

In this role, you will develop data solutions and establish new use cases in payment. You will work cross-departmentally on data quality and mentor junior data scientists.