Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling
- Build Snowflake data solutions
- Collaborate with cross-functional teams
- Create data models with stakeholders
- Design ETL/ELT pipelines
- Develop data ingestion processes
- Diagnose production issues
- Enforce data security access controls
- Implement Snowflake objects
- Implement data quality controls
- Ingest data from REST APIs
- Ingest data from cloud storage
- Ingest data from flat files
- Ingest data from relational databases
- Integrate Snowflake with Azure services
- Maintain pipeline documentation
- Monitor pipeline performance
- Optimize Snowflake workloads
- Set up data governance
- Transform and load data
- Tune SQL queries for SLAs
Perks/Benefits
- Company sponsored certification support
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
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 Security | Data Streams | Data Tasks | Data masking | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Tableau | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Associate Degree | Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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