Data Engineer, Azure - Remote, Latin America

Tasks

• Build data warehousing structures
• Collaborate with cross-functional teams
• Create data models and schemas
• Design and optimize Azure Synapse notebooks
• Design and optimize Azure Synapse pipelines
• Develop ETL pipelines
• Document ETL processes
• Ensure data security and compliance
• Extract data from CSV files
• Extract data from REST APIs
• Extract data from SQL tables
• Implement data cataloging
• Implement data lakes and lakehouses
• Implement data quality checks
• Monitor ETL jobs
• Troubleshoot pipeline issues
• Tune ETL performance

Perks/Benefits

• Company-paid certifications
• Conference access
• Continuing education
• Flexible working hours
• Paid time off
• Remote work
• Training opportunities

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 Lakes | Data Modeling | Data Privacy | Data Quality | Data Warehousing | Data integration | Delta Lake | Key Vault | Lakehouse | MS SQL | Performance Tuning | Power BI | PySpark | Python | REST APIs | SQL | SparkSQL | Star Schema | Synapse Analytics | Synapse Notebooks | Synapse Pipelines | Tableau