Data Engineer, Azure - Remote, Latin America

Tasks

• Build data warehousing models
• Collaborate with data architects
• Create data cataloging structures
• Design Azure Synapse notebooks
• Develop ETL pipelines
• Ensure data security and compliance
• Extract data from CSV files
• Extract data from REST APIs
• Extract data from database tables
• Implement data lakes and lakehouses
• Implement delta lake concepts
• Maintain ETL documentation
• Monitor ETL jobs
• Optimize azure synapse pipelines
• Perform data quality checks
• Troubleshoot data pipeline failures
• Tune ETL performance
• Validate transformed data

Perks/Benefits

• Company-sponsored coursework
• Conferences
• Continuing education
• Flexible working hours
• Paid time off
• Remote work
• Training
• Workshops and exams

Skills/Tech-stack

Azure Data | Azure Data Factory | Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Data Catalog | Data Factory | Data Governance | Data Lakes | Data Modeling | Data Privacy | Data Quality | Data Warehousing | Data integration | Delta Lake | Git | Key Vault | Lakehouse | MS SQL | MS SQL Server | Monitoring | Performance Tuning | PySpark | Python | REST API | SQL | SQL Server | SparkSQL | Star Schema | Synapse Analytics | Troubleshooting