Data Engineer, Azure - Remote, Latin America
USD 120K-150K (estimate) Mid-level Full Time
Tasks
- Create data models and schemas
- Design and build data warehousing structures
- Design and optimize Azure Synapse pipelines
- Develop and maintain ETL processes
- Ensure data security and compliance
- Extract data from CSV files
- Extract data from REST APIs
- Extract data from SQL tables
- Implement data lakes and lakehouses
- Implement data quality checks
- Implement delta lake concepts
- Maintain ETL documentation
- Monitor ETL jobs
- Optimize data notebooks for scalability
- Support cross-functional data requirements
- Troubleshoot data pipeline issues
- Tune ETL performance for SLAs
- Tune query performance
- Validate data transformations
Perks/Benefits
- Company-sponsored coursework
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
- Work-life balance
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 Modeling | Data Quality | Data Validation | Data Warehousing | Delta Lake | Git | Key Vault | Lakehouse | MS SQL | MS SQL Server | PySpark | Python | REST APIs | SQL | SQL Server | SparkSQL | Star Schema | Synapse Analytics | Synapse Notebooks | Synapse Pipelines
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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