Data Engineer, Azure - Remote, Latin America
COP 54000K-74400K (estimate) Mid-level Full Time
Tasks
- Build ETL pipelines
- Design data warehousing structures
- Develop data notebooks and pipelines
- Document ETL processes and transformations
- Ensure data security and governance
- Extract data from CSV files
- Extract data from REST APIs
- Extract data from SQL tables
- Implement data lakes and lakehouses
- Model dimensional schemas
- Monitor ETL jobs
- Optimize query performance
- Troubleshoot pipeline failures
- Validate data quality
Perks/Benefits
- Company-sponsored coursework
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Agile | Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Azure Synapse Notebooks | Azure Synapse Pipelines | Data Catalog | Data Lakes | Data Modeling | Data Quality | Data Warehousing | Data integration | Delta Lake | Git | Key Vault | Lakehouse | Linked Services | Microsoft SQL | Microsoft SQL Server | Performance Tuning | Power BI | PySpark | Python | REST API | SQL | SQL Server | SparkSQL | Star Schema | Synapse Analytics | Synapse Notebooks | Synapse Pipelines | Tableau
Education
N/A
Roles
Regions
Countries
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