Data Engineer - Python/SQL

Key Responsibilities :

- Support in the design, implementation, and maintenance of data integration pipelines and reusable data services (ETL processes = Extract, Transform, Load processes)

- Implementation of operational database structures, optimized views, and aggregations of data from multiple data sources and IT systems (including the use of data virtualization technologies)

- Support in the design and implementation of solution-oriented data integration and provisioning architectures for data-driven business applications in AAM

- Cooperation with IT functions and business departments for data connection and data provisioning

- Documentation of various data integration pipelines, data architectures, and other reusable components

- Ensuring data quality through the development and maintenance of automated control measures

- Participation in interdisciplinary teams using agile methodologies, and taking on Data Engineering responsibilities for designing and implementing data pipelines as part of cross-functional, use-case-specific solution architectures to be coordinated with IT Solution Architects

- Management and use of Big Data technologies and environments on the Digital Platform

- Application of data-related policies for data flows, data storage, and data processing

Qualification :

- 4 to 9 years of experience with Bachelors/Master's in computer Science or related field.

Tool skills :

- Programming languages : Python with typical packages/libraries

- Databases : RDBMS, especially SQL, no-SQL is a plus

- Data visualization : MS Power BI (preferred)

Technical skills :

- Broad theoretical AI background, GenAI is a plus

- Broad understanding of cloud-based AI platforms

- Broad data modeling experience