Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling
- Build data ingestion transformation loading processes
- Collaborate with stakeholders on data models
- Design ETL/ELT pipelines
- Develop Snowflake data platform solutions
- Extract and ingest data from REST APIs relational databases SaaS flat files and cloud storage
- Implement Snowflake objects and automation
- Implement data quality validation monitoring
- Maintain pipeline documentation
- Manage pipeline operations incident resolution
- Monitor and optimize Snowflake workloads and SQL queries
- Support data governance and security compliance
Perks/Benefits
- Company-sponsored certifications
- Company-sponsored coursework
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Access Control | Agile | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | CI/CD | Data Catalog | Data Factory | Data Governance | Data Lake Storage | Data Quality | Data Security | Data Sharing | Data masking | Data mesh | DevOps | Dimension tables | Dimensional Modeling | ELT | ETL | Enterprise Data | Enterprise Data Catalog | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | Relational databases | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowflake Time Travel | Snowpipe | Star Schema | Tableau | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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