Data Engineer, Azure - Remote, Latin America

Tasks

• Coordinate data modeling with architects
• Design data warehouse schemas
• Develop ETL pipelines
• Document ETL processes and transformations
• Ensure data security and governance
• Extract data from REST APIs
• Implement data quality checks
• Integrate data from CSV files
• Integrate data from SQL tables
• Load data into Azure Synapse
• Maintain ETL processes
• Monitor ETL jobs
• Optimize data notebooks for performance
• Troubleshoot pipeline issues

Perks/Benefits

• Company-sponsored certifications
• Conference support
• Continuing education
• Flexible working hours
• Paid time off
• Remote work
• Training

Skills/Tech-stack

Agile | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Azure Synapse Notebooks | Azure Synapse Pipelines | Data Catalog | Data Lake | Data Lake Storage | Data Modeling | Data Quality | Data Validation | Data Warehousing | Delta Lake | Git | Key Vault | Lakehouse | Linked Services | Microsoft SQL | Microsoft SQL Server | Performance Tuning | PySpark | Python | REST APIs | SQL | SQL Server | SparkSQL | Star Schema | Synapse Analytics | Synapse Notebooks | Synapse Pipelines