Software Engineering ETL
A MXN 420K-420K (estimate) Mid-level Full Time
Tasks
- Build data warehouse schemas
- Collaborate with DevOps and data teams
- Create stored procedures
- Debug ETL processes
- Design ETL pipelines
- Develop complex SQL queries
- Implement ETL pipelines
- Improve data quality
- Integrate data from APIs
- Integrate data from cloud sources
- Integrate data from flat files
- Integrate data from relational databases
- Maintain ETL pipelines
- Monitor ETL jobs
- Optimize ETL performance
Perks/Benefits
- Continuous training
- Corporate benefits
- Flexible work culture
- Global projects
- Multicultural environment
- Professional development
- Wellbeing plan
Skills/Tech-stack
AWS Glue | Agile methodologies | Apache NiFi | Azure Data | Azure Data Factory | CI/CD | Cloud Dataflow | Common table expressions | Data Factory | Data Warehousing | Databricks | ETL | Git | Google Cloud | Google Cloud Dataflow | Microsoft SQL | Microsoft SQL Server | MySQL | Oracle Database | Performance Tuning | PostgreSQL | Power Centers | SQL | SQL Performance | SQL Performance Tuning | SQL Server | SSIS | Snowflake Schema | Star Schema | Stored Procedures | Talend | Window Functions
Education
N/A
Roles
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