Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Build data ingestion pipelines
- Collaborate with data architects and stakeholders
- Create Snowflake objects and pipelines
- Design ETL/ELT pipelines
- Develop dimensional data models
- Develop reusable transformation logic
- Implement Snowflake data models
- Implement data quality monitoring
- Ingest data from REST APIs
- Ingest data from relational databases
- Maintain pipeline documentation
- Monitor and optimize SQL queries
- Optimize Snowflake workloads
- Support data governance and security
- Support production incident resolution
Perks/Benefits
- Company-sponsored certifications
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Quality | Data Security | Data masking | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Stored Procedures | Streams | Tableau | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Roles
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