Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Zapopan, Jalisco, Mexico
R
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformations and loading processes
- Collaborate with data architects on logical and physical data models
- Design ETL/ELT pipelines
- Develop dimensional data models using star schemas
- Extract and ingest data from REST APIs and relational databases
- Implement Snowflake databases schemas tables views streams tasks stages stored procedures
- Implement data quality controls and monitoring
- Ingest semi structured data from flat files and cloud storage
- Maintain documentation for pipelines and data models
- Monitor pipelines and resolve production incidents
- Optimize Snowflake workloads and SQL queries
- Recommend performance and cost efficiency improvements
- Support Snowflake integration with Azure services
- Support data governance and security compliance
Perks/Benefits
- Company-sponsored certifications
- Company-sponsored coursework
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training & conferences
Skills/Tech-stack
Access Control | 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 Sharing | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Performance Tuning | PySpark | Python | REST APIs | SQL | SQL Performance | SQL Performance Tuning | STAGES | Snowflake | Snowpipe | Star Schema | Stored Procedures | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Roles
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