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 and maintain ETL processes
- Document ETL processes and transformations
- Ensure data security and governance
- 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 lakes
- Monitor ETL jobs
- Troubleshoot data pipeline issues
- Tune ETL performance for SLAs
Perks/Benefits
- Certification support
- Company-sponsored courses
- Conference attendance
- Continuing education
- Exam support
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Agile | 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 Privacy | Data Quality | Data Warehousing | Delta Lake | Git | Key Vault | Lakehouse | 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
Education
Roles
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