Data Engineer Azure Databricks - ETL Automation Specialist- (3-Month Project)
$21,600–$21,600 year
Remote · Mexico City, Mexico City, Mexico
Job Summary
Azure Data Engineer with Databricks and Azure Data Factory to join a short-term project focused on automating and optimizing data integration ETL processes. Design, develop, and maintain ETL workflows; implement data ingestion and processing pipelines for CSV, TXT, Excel and other sources; automate loading, transformation, and validation steps; configure and manage Databricks Jobs/Workflows for scheduled execution; develop data transformations using SQL and Databricks; monitor, diagnose, and resolve issues in ETL pipelines; ensure data quality, consistency, and availability; collaborate with technical teams and stakeholders to understand integration and automation requirements; contribute to optimization and continuous improvement of data processes. Project duration: 3 months, remote, LATAM, semi-senior to senior level.
Required Qualifications
- 5+ years of experience in Data Engineering, ETL Development or Data Integration
- Experience with Azure Data Factory
- Experience with Databricks
- End-to-end ETL processes
- Experience processing structured data and diverse data sources
- Azure Data Factory
- Azure Databricks
- Advanced SQL
- ETL development
- Data pipelines design and maintenance
- Data ingestion/processing for CSV, TXT, Excel
- Automation of load/transform/validate processes
- Databricks Jobs and Workflows configuration in a scheduled execution
- Data transformations using SQL and Databricks technologies
- Troubleshooting and monitoring data processes
- Python
- PySpark
- Ability to quickly integrate into running projects
- Autonomy and results orientation
- Effective communication
- Attention to detail
- Proactivity
- Project-based remote collaboration (LATAM)
Additional Requirements
- Remote LATAM
- Remote work option enabled
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