Data Engineer, Azure - Remote, Latin America
Tasks
- Build data warehousing structures and dimensional models
- Collaborate with cross-functional teams on data requirements
- Design and optimize Azure Synapse Analytics notebooks and pipelines
- Develop and maintain ETL pipelines
- Document ETL processes data flows and transformations
- Ensure data security and compliance with governance and privacy standards
- Extract data from REST APIs SQL tables and CSV files
- Implement data quality checks and validations
- Monitor troubleshoot and resolve ETL job issues
- Tune ETL performance to meet SLAs
Perks/Benefits
- Company sponsored exams
- Company-sponsored certifications
- Company-sponsored coursework
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Agile | Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | CSV | Data Cataloging | Data Governance | Data Lake | Data Modeling | Data Privacy | Data Quality | Data Warehousing | Delta Lake | ETL | Git | Key Vault | Lakehouse | MS SQL | Monitoring | Performance Tuning | PySpark | Python | REST APIs | SLAs | SQL | SparkSQL | Star Schema | Synapse Analytics | Version control
Education
Roles
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