Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Build ETL and ELT pipelines
- Collaborate with data architects and stakeholders
- Create dimensional data models
- Design Snowflake data models
- Develop reusable ingestion frameworks
- Implement Snowflake objects and automation
- Implement data quality and validation
- Ingest data from REST APIs and databases
- Maintain documentation
- Monitor pipelines and resolve incidents
- Optimize SQL queries and Snowflake workloads
- Support data governance and security
- Transform and load data into Snowflake
Perks/Benefits
- Company-paid certifications
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
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 Lake Storage | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Tableau | Terraform | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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