Related skills
etl sql nosql python gcp📋 Description
- Design and implement ETL pipelines in GCP
- Build Python-based data pipelines for ML
- Prepare and transform data for Data Science teams
- Create data ingestion processes to generate model predictions
- Leverage cloud tools (GCP, Azure, Databricks) for data storage/pipelines
- Collaborate on version control and CI/CD workflows
🎯 Requirements
- 3+ years SQL (ETL, complex DB scripting)
- 3+ years Python (ETLs, ML pipelines)
- 2+ years GCP
- Tagging datasets with GCP data annotation tools
- Data prep for DS teams: cleaning, integration
- GIT, CI/CD, Spark/Hadoop, NoSQL (Mongo, Cosmos)
🎁 Benefits
- Professional growth
- Dynamic work environment
- Attractive benefits plan
- Comprehensive benefits and leadership support
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