The goal is to extend the data pipelines for the recommendation engine MIA (“Meine Intelligente Assistenz”)
• Conduct Requirements Analysis – identify adequate
data in MSD data landscape for this purpose
• Extend AWS Redshift views and tables
• Extend Feature Store by applying SQL and Python Code
• Extend Data Validation Repository by using Great Expectation Library
• Adapt AWS Redshift Views/ Tables, FEAST and Data Validation Repository if changes in upstream layers occur
• Deploy changes to test and production environment iteratively in release cycles
• Optimization of existing SQL scripts to resolve redundancies
Requirements:
multiple years of experience in:
• developing and optimizing SQL-Views and Tables in AWS Redshift
• developing Feature Stores by developing/ optimizing SQL and Python code in AWS environment
• setting up data validations repository similar to Great Expectation Library
• working in a Scrum Environment
• working for a Data Science product
• communication and data analysis skills to understand the data needs of the Data Scientists and identify the appropriate data based on collaboration with SMEs
• English language, German is a plus
Following technology stack skills are required:
• Programming Languages: Python, SQL
• AWS services: Redshift, S3, Stepfunctions, Sagemaker
• Version control and collaboration: Git, GitHub
• CI/CD: Jenkins
• Development environments: Visual studio code, SQL, Workbench, dbeaver
Your OCR contact
Barbara Kalisch
phone: 07472-95176-20
Email: bk@oc-recruitment.de
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