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Job Description
- Develop, implement, and maintain new and existing data pipelines within our data lake
- Create use-case specific data assets in collaboration with our data scientists and business users
- Develop understanding of Henkel’s rich data landscape
- Monitor and debug ETL pipelines
- Maintain/enrich our automated data catalog
- Ensure proper data governance including GDPR and our internal rules for data processing
Job Requirements
- Bachelor's degree in Business Informatics, Computer Science, or any relevant study
- Minimum two years of experience as data engineer
- Fluent English speaker
- Knowledge about one or more general programming languages: practical experience with Python and others like Scala
- Experience with SQL and non-SQL data bases, as well with ETL processes
- Experience with Hadoop Map-Reduce, Spark, Hive, Databricks or similar technologies
- Knowledge about cloud platform data tools, preferred Azure, AWS or others
- Basic knowledge about SAP connectors and data structures is a plus
- Experience in front-end development; JavaScript is a plus
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