Data Engineer, Azure - Remote, Latin America
Tasks
- Apply data governance and privacy standards
- Build data notebooks and pipelines
- Collaborate with cross-functional teams
- Design data storage structures
- Develop ETL pipelines
- Document data flows and transformations
- Ensure data security and compliance
- Implement data quality checks
- Ingest data from CSV files
- Ingest data from REST APIs
- Maintain ETL documentation
- Maintain ETL processes
- Monitor ETL jobs
- Optimize notebook and pipeline performance
- Support data modeling requirements
- Transform and load data in Azure Synapse
- Troubleshoot pipeline failures
- Tune SQL query performance
- Validate data accuracy
Perks/Benefits
- Certification support
- Company-sponsored coursework
- Conferences
- Continuing education
- Exam support
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Data Cataloging | Data Governance | Data Lakes | Data Modeling | Data Privacy | Data Quality | Data Warehousing | Data integration | Delta Lake | ETL | Git | Key Vault | Lakehouse | MS SQL | Performance Tuning | PySpark | Python | REST APIs | SQL | SparkSQL | Star Schema | Synapse Analytics | Version control
Roles
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