Data Engineer (Ingeniero de Datos)
COP 27600K-184800K (estimate) Senior-level Full Time
Tasks
- Automate data operations with AI
- Automate incremental and full history loads
- Build ETL/ELT pipelines
- Build data visual dashboards
- Collaborate with analytics and data science teams
- Create KPIs and metrics
- Design data modeling and partitioning
- Develop Power BI reports
- Document data solutions and pipelines
- Guide Junior Data Engineers
- Implement distributed data processing
- Integrate data via APIs and connectors
- Lead data architecture best practices
- Optimize data ingestion and transformation
- Orchestrate data workflows
Perks/Benefits
- Birthday day off
- Connectivity allowance
- Employee fund
- Flexible schedule
- Hybrid work
- Prepaid medical insurance
- Vacation days
- Volunteering hours program
- Work from home
Skills/Tech-stack
API Integration | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Synapse | Azure Synapse Analytics | Big Data | Big data optimization | CI/CD | DAX | Data Factory | Data Lake | Data Modeling | Data Optimization | Data Partitioning | Data orchestration | DataOps | Databricks | Distributed Processing | ELT | ETL | Incremental loading | JSON | MySQL | OpenAI | Pandas | Power BI | PySpark | Python | REST API | SFTP | SQL | SQL Server | Serverless | Synapse Analytics | Version control | Webhooks
Education
N/A
Roles
Regions
Countries
States
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