Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Mexico City, Mexico
R
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling with star schemas
- Build Snowflake databases schemas tables and views
- Collaborate with architects and stakeholders on data models
- Design ETL/ELT pipelines
- Develop ingestion transformations and loading processes
- Extract data from REST APIs relational databases and flat files
- Implement Snowflake streams tasks stages and Snowpipe
- Implement data quality, validation, and monitoring
- Ingest structured and semi structured data
- Integrate Snowflake with Azure services
- Maintain documentation for pipelines and models
- Monitor pipelines and resolve production incidents
- Optimize Snowflake workloads and SQL queries
- Support data governance and security access controls
Perks/Benefits
- Company-sponsored certifications
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training & conferences
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 Modeling | Data Quality | Data Security | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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