Amazon Kinesis Jobs in Germany

In this role, you will develop reliable data pipelines using SQL and Python, modernize legacy systems to the cloud, and implement robust data integration patterns for efficient data processing.

In this role, you will design cloud-native applications and data platforms, work on ontology modeling, and build data products on Azure while leveraging agile methods and AI tools.

In this role, you will develop data pipelines for integrating complex ERP data structures, build a Data Lake infrastructure on AWS, and implement resilient workflows for reliable data processing.

In this role, you will develop the core payment platform, optimize systems for transaction processing and identity management, and lead technical analyses for cross-team projects.

In this role, you design and implement scalable data platforms in cloud environments, develop efficient ELT/ETL pipelines, and ensure data quality and cost optimization while collaborating closely with data architects and data scientists.

In this role, you will design and maintain scalable data pipelines and architectures, efficiently integrate data sources, and collaborate with interdisciplinary teams on end-to-end solutions for data-driven projects.

In this role, you will develop data pipelines and long-running services on AWS to process large volumes of energy data and support decision-relevant dashboards.

In this role, you will develop containerized services on AWS ECS and orchestrate workflows using Airflow or Prefect while closely collaborating with analysts to define KPIs.

In this role, you develop containerized services on ECS, orchestrate workflows using Airflow or Prefect, and design data models to support analytics and reporting in the finance sector.

In this role, you will develop products and services from requirements to deployment in production systems, collaborating in agile teams to create innovative solutions using modern technologies.