Ingeniero De Datos
Tasks
- Analyze data requirements
- Apply continuous improvement to data products
- Build ETLs and ELTs
- Create and manage data warehouse datamarts and data lakes
- Develop and deploy data products
- Implement data validation strategies
- Optimize database scripts and stored procedures
- Participate in data engineering solution design
- Perform data testing for functional and non-functional requirements
Perks/Benefits
- Additional leave days
- Annual bonus
- Prepaid medical insurance
- Remote work
- Training and development
- Vacational bonus
Skills/Tech-stack
AWS Glue | Agile | Amazon Web Services | Apache Spark | Azure Data | Azure Data Factory | Batch Processing | Cassandra | Clean Code | Cloud platform | Data Factory | Data Lake | Data Mart | Data Services | Data Warehouse | DataOps | Dataflow | Distributed file systems | ELT | ETL | Elasticsearch | File systems | Google Cloud | Google Cloud Platform | HDFS | Hadoop | Microsoft Azure | MongoDB | Neo4j | Oracle | Pentaho Kettle | PostgreSQL | PySpark | Python | SAP Data Services | SAP data | SQL | SQL Server | SSIS | Web Services
Education
N/A
Roles
Regions
Countries
States
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