Senior Ingeniero de datos - Sector Financiero/Bancario
Quito, Pichincha, Ecuador
USD 42K-46K (estimate) Senior-level Full Time
Tasks
- Apply Clean Code practices in development
- Build ETL/ELT pipelines
- Create and optimize data warehouses datamarts datalakes and lakehouse
- Deploy data solutions with CI/CD
- Design data solutions aligned to data architecture
- Develop APIs for efficient data handling
- Develop data pipelines for batch and streaming
- Implement data testing for functional and non functional quality
- Mentor team members and support onboarding
- Optimize SQL and Spark jobs
- Resolve technical incidents and document solutions
Perks/Benefits
- Long-term contract
- Mentorship
- Paid Holidays
- Paid time off
- Private medical insurance
- Professional development
- Training resources access
Skills/Tech-stack
AWS Glue | Apache Flink | Apache Hadoop | Apache Kafka | Apache Spark | Azure Data | Azure Data Factory | Batch Processing | CI/CD | Clean Code | Data Factory | Data Lake | Data Mart | Data Warehouse | DataOps | Database optimization | HDFS | Java | Lakehouse | MLOps | NoSQL | Python | Relational databases | SQL | SSIS | Scala | Streaming Data
Education
N/A
Roles
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