Related skills
etl sql nosql python gcp📋 Description
- Data ingestion and ETL pipeline development
- Data extraction from multiple sources (files, plans, Excel, ERP DBs)
- Data integration and transformations for data science workflows
- Tagging data sets for ML workflows in GCP
- Create data ingestion processes to feed models and generate predictions
- Data cleansing, wrangling, and data quality enforcement
🎯 Requirements
- Data Ingestion
- 3+ years SQL (ETL, Complex Database Scripting)
- Data extraction from multiple sources (files, Excel, SQL/ERP DBs), structured and unstructured data
- Desirable: Spark (ETLs, Distributed Systems for High Data Volumes)
- 3+ years Python (ETLs, Pipelines) for ML
- Experience in data preparation for Data Science teams, including cleaning, integration and data transformation
🎁 Benefits
- Professional growth
- Dynamic work environment
- Attractive benefits plan
- Benefits of law and superiors
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