Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Aguascalientes, Mexico
R
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling star schemas
- Build and optimize Snowflake data warehouse solutions
- Collaborate on logical and physical data models
- Design ETL/ELT pipelines
- Develop Snowflake objects and automation
- Develop ingestion frameworks
- Extract ingest and integrate data from REST APIs relational databases and flat files
- Implement data ingestion transformations and loading
- Implement data quality, validation, and monitoring
- Maintain pipeline and transformation documentation
- Manage production pipeline support and incident resolution
- Monitor and optimize Snowflake workloads and SQL queries
- Set up Git and CI CD pipelines with Azure DevOps
- Support data governance and security access controls and masking
Perks/Benefits
- Company sponsored certification support
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
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 | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Tableau | Terraform | “as-code”
Education
Roles
Regions
Countries
States
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