Data Engineer, Azure - Remote, Latin America

Tasks

• Build data warehousing structures
• Collaborate with cross-functional teams
• Design and optimize Azure Synapse notebooks
• Design and optimize Azure Synapse pipelines
• Design data models and schemas
• Develop ETL pipelines
• Document data flows and transformations
• Ensure data security and compliance
• Extract data from CSV files
• Extract data from REST APIs
• Extract data from SQL tables
• Implement data quality checks
• Maintain ETL processes
• Monitor ETL jobs
• Optimize query performance
• Transform and load data
• Troubleshoot data pipeline failures
• Write complex SQL queries

Perks/Benefits

• Company-sponsored certifications
• Conference attendance
• Continuing education
• Flexible working hours
• Paid time off
• Training
• Work remotely

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 Governance | Data Lake Storage | Data Lakehouse | Data Modeling | Data Quality | Data Warehousing | Delta Lake | Git | Key Vault | Linked Services | Microsoft SQL | Microsoft SQL Server | Performance Tuning | Power BI | PySpark | Python | REST API | SQL | SQL Server | SparkSQL | Star Schema | Synapse Analytics | Synapse Notebooks | Synapse Pipelines | Tableau