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 and maintain ETL pipelines
- Document ETL processes
- Ensure data security and compliance
- Extract data from CSV files
- Extract data from REST APIs
- Extract data from database tables
- Implement data lake and lakehouse concepts
- Implement data quality checks
- Monitor ETL jobs
- Troubleshoot data pipeline failures
- Tune ETL performance
Perks/Benefits
- Company-sponsored training and certifications
- Conference attendance
- 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 Pipelines | Data Catalog | Data Governance | Data Lakes | Data Modeling | Data Privacy | Data Quality | Data Security | Data Warehousing | Delta Lake | ETL | Git | Key Vault | Lakehouse | Performance Tuning | Power BI | PySpark | Python | REST API | SQL | SparkSQL | Star Schema | Synapse Analytics | Synapse Pipelines | T-SQL | Tableau
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
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