Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Mexicali, Baja California, Mexico
R
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformations and loading processes
- Build ingestion frameworks
- Collaborate with stakeholders to define data models
- Design ETL/ELT pipelines
- Develop Snowflake data platform objects and workflows
- Document data pipelines transformations and operational processes
- Extract and ingest data from REST APIs and databases
- Implement automated data quality validation and monitoring
- Implement dimensional data models
- Manage CI/CD pipelines
- Monitor pipelines and troubleshoot production incidents
- Optimize Snowflake performance and cost
- Support Azure data lake and data factory integrations
- Support data governance and security compliance
Perks/Benefits
- Company Sponsored Coursework Exams and Certifications
- Continuing education training conferences
- Flexible working hours
- Paid time off
- Remote work
Skills/Tech-stack
Agile | 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 | Data Sharing | Dimension tables | Dimensional Modeling | ELT | ETL | Fact tables | Git | Infrastructure Monitoring | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | STAGES | Secure Data Sharing | Snowflake | Snowflake Secure Data Sharing | Snowpipe | Star Schema | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
N/A
Roles
Regions
Countries
States
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