Azure Data Engineer - Remote, Latin America
USD 120K-150K (estimate) Mid-level Full Time
Tasks
- Build facts and dimensions models
- Build star schemas
- Collaborate with data scientists and analysts
- Create data models and schemas
- Design Azure Synapse Analytics notebooks
- Design data warehouse schemas
- Develop ETL pipelines
- Ensure data security and compliance
- Extract data from CSV files
- Extract data from REST APIs
- Extract data from SQL databases
- Implement data cataloging
- Implement data lake and lakehouse concepts
- Implement data quality checks
- Maintain ETL data engineering processes
- Maintain ETL documentation
- Monitor ETL jobs
- Optimize Azure Synapse Analytics pipelines
- Optimize Spark transformations
- Support data governance and privacy standards
- Transform and load data
- Troubleshoot ETL pipeline failures
- Tune query performance
- Validate data accuracy
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | Azure Notebooks | Azure Pipelines | Azure Synapse | Azure Synapse Analytics | CSV | Data Catalog | Data Factory | Data Lake Storage | Data Lakehouse | Data Modeling | Data Quality | Data Warehousing | Delta Lake | ETL | Git | Key Vault | Linked Services | MS SQL | Performance Tuning | PySpark | Python | REST APIs | SQL | SparkSQL | Star Schema | Synapse Analytics
Education
N/A
Roles
Regions
Countries
States
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