Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Rosario, Santa Fe, Argentina
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build data ingestion processes
- Collaborate on logical and physical data models
- Collaborate with cross-functional stakeholders
- Design ETL/ELT pipelines
- Develop dimensional models
- Develop ingestion frameworks
- Diagnose pipeline performance issues
- Enforce data engineering standards
- Ensure data security and access controls
- Extract data from REST APIs
- Implement Snowflake data platform objects
- Implement data quality controls
- Ingest data from flat files
- Ingest data from relational databases
- Maintain pipeline documentation
- Monitor Snowflake workloads
- Optimize SQL queries
- Optimize Snowflake performance
- Set up data validation monitoring
- Support Snowflake integration with Azure services
- Support data governance initiatives
- Support production incident resolution
Perks/Benefits
- Company-sponsored certifications
- Conferences
- 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 Modeling | Data Quality | Data Security | Data Sharing | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | Snowflake | Snowpipe | Star Schema | Terraform | Time Travel | “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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