Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Puebla City, Mexico
R
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Build and optimize Snowflake objects
- Design ETL/ELT pipelines
- Develop dimensional data models
- Diagnose incidents and resolve production issues
- Document data pipelines and models
- Implement Snowflake streams tasks and stages
- Implement data quality, validation, and monitoring
- Ingest data from REST APIs and databases
- Load data into Snowflake
- Manage CI CD pipelines with Git and Azure DevOps
- Monitor pipeline performance and SLAs
- Support data governance and security
- Transform data in Python and PySpark
Perks/Benefits
- Company Sponsored Coursework Exams and Certifications
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training & conferences
Skills/Tech-stack
Access Control | 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 Quality | Data Sharing | Data masking | Dimension tables | Dimensional Modeling | ELT | ETL | Fact tables | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | Relational databases | SQL | STAGES | Snowflake | Snowflake Time Travel | Snowpipe | Star Schema | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Roles
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