Data Engineer, Azure - Remote, Latin America
USD 120K-150K (estimate) Mid-level Full Time
Tasks
- Build star schema structures
- Design and optimize Azure Synapse notebooks
- Design and optimize Azure Synapse pipelines
- Design data models and schemas
- Develop ETL pipelines
- Document ETL workflows and transformations
- Ensure data security and compliance
- Implement data quality checks
- Integrate data from REST APIs and CSV files
- Load transformed data to data warehouses
- Maintain ETL processes
- Monitor ETL jobs
- Query and optimize SQL statements
- Troubleshoot pipeline failures
- Use Azure Key Vault for secrets
Perks/Benefits
- Company coursework exams and certifications
- Conference access
- 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 | Big Data | Data Catalog | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehousing | Delta Lake | Git | Key Vault | Lakehouse | Linked Services | MPP | Massively Parallel Processing | Monitoring | Parallel processing | Performance Tuning | PySpark | Python | REST APIs | SQL | SparkSQL | Star Schema | Synapse Analytics | Synapse Notebooks | Synapse Pipelines
Education
N/A
Roles
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