Data Engineer, Azure - Remote, Latin America
Tasks
- Build data warehouse schemas
- 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 workflows
- Extract data from CSV files
- Extract data from REST APIs
- Extract data from SQL tables
- Implement data governance and privacy controls
- Implement data lakes lakehouses and delta lakes
- Maintain ETL processes
- Monitor ETL jobs
- Perform data validation
- Run data quality checks
- Troubleshoot data pipeline failures
- Tune query and pipeline performance
Perks/Benefits
- Company-sponsored certifications
- Conferences
- Continuing education
- Coursework and exam support
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Agile | Azure Data | Azure Data Factory | Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Data Catalog | Data Factory | Data Governance | Data Lakehouse | Data Modeling | Data Privacy | Data Quality | Data Warehouse | Data integration | Delta Lake | Git | Key Vault | MS SQL | Power BI | PySpark | Python | REST API | SQL | Spark SQL | Star Schema | Synapse Analytics | Tableau
Education
N/A
Roles
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