Conceptualization and development of Big Data/Analytics platforms
Selection of suitable technologies for implementing data analytics use cases in complex cloud environments
Development, execution, and scaling of data pipelines on cluster architectures
Assessment of data quality and implementation of data cleansing transformations
Design and implementation of data models
Providing data in suitable storage technologies for a wide range of applications such as interactive dashboards, API backends, statistical analyses and AI systems.
Setting up infrastructure, applications, and DevOps workflows using IaC and CI/CD
Supporting the Data Science team in the development, deployment, production, and operationalization of statistical or AI models.
Project organization in terms of planning and coordination
Active participation in the engineering community within the company
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