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- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in the data/BI space
- Knowledge of advanced skills in Excel as well as any data visualization tools like Quicksight or similar BI tools
Munich, BY, DEU
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Elementary experience with data engineering, working with APIs, and managing AWS accounts.
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