Data Analyst with Python and Dataiku

JOB Description: Design and implement ETL/ELT processes using Python and Dataiku Perform small enhancements, bug fixes, and performance improvements on existing data pipelines, workflows, and models Strong hands-on experience with Dataiku DSS Proficiency in Python (Pandas, NumPy, Scikit-learn, PySpark preferred) Experience working with AWS ecosystem, including: S3 (Storage) EC2 (Compute) Glue (ETL) Redshift (Data Warehouse) Lambda/SageMaker (preferred) Strong knowledge of SQL and database management Experience with data modeling and pipeline orchestration Familiarity with REST APIs and data integration techniques

Design and implement ETL/ELT processes using Python and Dataiku. Perform enhancements, bug fixes, and performance improvements on existing data pipelines, workflows, and models.

Strong hands-on experience with Dataiku and proficiency in Python are required. Experience with the AWS ecosystem and strong knowledge of SQL and database management are also necessary.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Dataiku
• ETL
• ELT
• SQL
• Data Modeling
• AWS
• Pandas
• NumPy
• Scikit-learn
• PySpark
• S3
• EC2
• Glue
• Redshift
• REST APIs

Expérience minimale

5+ ans