Data Engineer, Azure - Remote, Latin America
Tasks
- Collaborate with data architects
- Design data warehouse models
- Design dimension and fact tables
- Develop ETL pipelines
- Document ETL workflows
- Ensure data security and compliance
- Extract data from CSV files
- Extract data from REST APIs
- Extract data from SQL databases
- Implement data quality checks
- Implement star schema
- Maintain ETL data engineering processes
- Monitor ETL jobs
- Optimize Synapse notebooks and pipelines
- Support data governance and privacy
- Transform and load data in Azure Synapse
- Troubleshoot data pipeline issues
- Tune query performance
- Validate transformed data
Perks/Benefits
- Company-sponsored coursework
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
- Work remotely from Latin America
Skills/Tech-stack
Agile | Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Azure Synapse Notebooks | Azure Synapse Pipelines | Data Catalog | Data Lakes | Data Modeling | Data Quality | Data Warehousing | Data integration | Delta Lake | Git | Key Vault | Lakehouse | Linked Services | MS SQL | Monitoring | Performance Tuning | PySpark | Python | REST APIs | SQL | SparkSQL | Star Schema | Synapse Analytics | Synapse Notebooks | Synapse Pipelines
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology
Roles
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