Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling Star Schema
- Build data ingestion transformation loading jobs
- Collaborate with data architects and stakeholders
- Design ETL/ELT pipelines
- Develop ingestion frameworks
- Implement Snowflake data warehouse objects
- Implement data quality validation monitoring
- Ingest data from REST APIs relational databases flat files cloud storage
- Integrate Snowflake with Azure services
- Maintain documentation
- Monitor pipelines diagnose performance issues
- Optimize Snowflake workloads and SQL performance
- Support data governance and security access control masking
Perks/Benefits
- Company-sponsored certifications
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Agile | 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 Quality | Data Sharing | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | Relational databases | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Tableau | Terraform | Virtual Warehouse | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Technology
Roles
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