Ingeniero/a de datos
Tasks
- Apply clean code and version control with Git
- Build and maintain data pipelines
- Design data models and storage structures
- Develop ETL/ELT processes
- Develop with Python PySpark SQL and dbt
- Ensure data quality integrity availability
- Implement CI/CD practices
- Implement batch processing
- Implement streaming processing
- Integrate and consume GraphQL APIs
- Integrate and consume REST APIs
- Manage AWS cloud services
- Orchestrate data workflows with Airflow
- Participate in agile projects
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Airflow | Amazon Athena | Amazon EMR | Amazon Redshift | Amazon S3 | Batch Processing | CI/CD | CloudFormation | DBT | Data Lake | Data Lakehouse | Data Modeling | Data Warehouse | ELT | ETL | Git | GraphQL | NoSQL | PySpark | Python | REST API | SQL | Streaming | Terraform
Education
N/A
Roles
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