Data Engineer (Ingeniero de Datos) - Intelligence
Tasks
- Automate incremental loads and full history processing
- Build and optimize ETL/ELT pipelines
- Collaborate with data analysis and data science teams
- Design KPIs and data metrics
- Develop Power BI dashboards and reports
- Document data models and data processes
- Guide Junior Data Engineers
- Implement DataOps and CI CD automation
- Implement data integrations via APIs and connectors
- Lead data architecture and modeling
- Orchestrate data pipelines and data workflows
Perks/Benefits
- Connectivity allowance
- Flexible schedule
- Health insurance
- Hybrid work
- Paid time off
- Volunteering hours
- Work from home
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Databricks | Azure Synapse | Azure Synapse Analytics | Big Data | CI/CD | DAX | Data Factory | Data Lake | Data Modeling | Data Versioning | Data orchestration | DataOps | Databricks | ELT | ETL | JSON | MySQL | OpenAI | Pandas | Partitioning | Power BI | PySpark | Python | REST APIs | SFTP | SQL | SQL Server | Serverless | Synapse Analytics | Webhooks
Education
N/A
Roles
Regions
Countries
States
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