Data Engineer
Santiago, Andes, Chile
CLP 49980K-58800K (estimate) Senior-level Full Time
Tasks
- Advise on data quality rules
- Apply SOLID principles and design patterns
- Automate data flows for data consumption
- Build scalable ETL/data pipelines
- Configure CI CD pipelines with Git and Databricks Asset Bundles
- Deploy data solutions to production environments
- Design and optimize data lake infrastructure
- Design data governance processes
- Develop reusable data ingestion workflows
- Ensure data quality assurance for pipelines
- Establish data compliance policies
- Implement Medallion Architecture with Delta Lake
- Implement batch and streaming data ingestion and transformation
- Manage data governance and security with Azure Key Vault and Unity Catalog
- Migrate data from legacy data warehouses
- Optimize Spark and PySpark cluster performance
Perks/Benefits
- Bonuses and year-end bonuses
- Books and podcasts
- Career development
- Flexible working hours
- Free certifications
- Global onboarding
- Language program
- Training courses
Skills/Tech-stack
Asset bundles | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Key Vault | Batch Processing | CI/CD | Cloud Architecture | Data Compliance | Data Factory | Data Governance | Data Pipelines | Data Quality | Databricks | Databricks (asset) | Databricks Asset Bundles | Delta Lake | Delta Live Tables | Delta Live) | Design Patterns | ETL | Git | Key Vault | Oracle | PostgreSQL | PySpark | Python | SOLID | SQL | SQL Server | Spark | Streaming processing | Structured Streaming | T-SQL | Unity Catalog
Education
Roles
Regions
Countries
States
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