Data Engineer (Azure) - Remote, Latin America
Tasks
- Apply data security and governance
- Build data warehousing models
- Build dimension and fact tables
- Collaborate with stakeholders on data requirements
- Design and optimize Azure Synapse Analytics notebooks
- Design and optimize Azure Synapse Analytics pipelines
- Design star schemas
- Develop ETL data pipelines
- Document ETL workflows
- Extract data from CSV files
- Extract data from REST APIs
- Extract data from SQL database tables
- Implement data quality checks
- Maintain ETL data processes
- Monitor ETL jobs
- Transform and load data using PySpark
- Troubleshoot data pipeline failures
- Tune query performance
Perks/Benefits
Skills/Tech-stack
Agile | Azure Data | Azure Data Lake | Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Data Catalog | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehousing | Delta Lake | ETL | Git | Key Vault | Lakehouse | MS SQL | MS SQL Server | Performance Tuning | PySpark | Python | REST API | SQL | SQL Server | SparkSQL | Star Schema | Synapse Analytics
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Regions
Countries
States
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