Data Engineer, Azure - Remote, Latin America
Tasks
- Apply data security and governance
- Build ETL pipelines
- Collaborate with data architects on data models
- Create lakehouse data structures
- Design data warehousing schemas
- Develop data notebooks in Azure Synapse Analytics
- Document ETL workflows
- Extract data from REST APIs
- Extract data from SQL tables
- Implement data quality checks
- Implement star schema models
- Monitor ETL jobs
- Optimize ETL performance
- Process CSV data
- Troubleshoot pipeline failures
Perks/Benefits
- Company-sponsored certifications
- Company-sponsored coursework
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Azure Synapse Notebooks | Azure Synapse Pipelines | Data Catalog | Data Governance | Data Lakes | Data Privacy | Data Quality | Data Warehousing | Data integration | Delta Lake | Dimension tables | Fact tables | Git | Key Vault | Lakehouse | MS SQL | Performance Tuning | PySpark | Python | REST APIs | SQL | SparkSQL | Star Schema | Synapse Analytics | Synapse Notebooks | Synapse Pipelines
Roles
Regions
Countries
States
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