Data Engineer, Azure - Remote, Latin America

Tasks

• Design and build data warehousing structures
• Design and optimize Azure Synapse notebooks
• Design and optimize Azure Synapse pipelines
• Develop and maintain ETL pipelines
• Document ETL processes
• Extract data from REST APIs
• Extract data from SQL database tables
• Implement data quality checks
• Implement data security and governance
• Ingest data from CSV files
• Model data schemas
• Monitor ETL jobs
• Optimize SQL queries
• Troubleshoot data pipeline failures
• Tune ETL performance

Perks/Benefits

• Company-sponsored certifications
• Company-sponsored coursework
• Conferences
• Continuing education
• Flexible working hours
• Paid time off
• Performance bonuses
• Remote work
• Training

Skills/Tech-stack

Azure Data | Azure Data Factory | Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Azure Synapse Notebooks | Azure Synapse Pipelines | Data Catalog | Data Factory | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehousing | Delta Lake | Git | Key Vault | Lakehouse | Linked Services | MS SQL | PySpark | Python | REST APIs | SQL | SparkSQL | Star Schema | Synapse Analytics | Synapse Notebooks | Synapse Pipelines