Data Engineer Copy 01
Santiago, Andes, Chile
CLP 49980K-58800K (estimate) Senior-level Full Time
Tasks
- Automate data flows
- Build ETL data pipelines
- Collaborate on data visualization solutions
- Deploy data solutions to production
- Develop data ingestion workflows
- Develop frontend interfaces
- Ensure data quality and governance
- Integrate systems using REST APIs
- Migrate data from legacy systems
- Transform and optimize data pipelines
Perks/Benefits
- Bonuses
- Career development
- Flexible work hours
- Free certifications
- Global onboarding
- Language program
- Online and in-person training
- Podcasts and books library
Skills/Tech-stack
App Service | Azure | Azure Data | Azure Data Lake | CSS | Cosmos DB | Dash Plotly | Data Governance | Data Lake | Data Quality | Data Warehousing | ETL | HTML | JavaScript | Pandas | Power BI | PySpark | Python | REST APIs | React | Version control
Education
Roles
Data Engineer | Developer | Engineer | Frontend | Frontend Developer
Regions
Countries
States
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