Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Build data ingestion processes
- Collaborate on logical and physical data models
- Collaborate with data stakeholders
- Design ETL/ELT pipelines
- Develop Snowflake data solutions
- Develop ingestion frameworks
- Diagnose pipeline issues
- Ensure data security and access control
- Establish data engineering standards
- Implement Snowflake objects
- Implement data quality controls
- Ingest data from REST APIs
- Ingest data from relational databases
- Maintain production documentation
- Model dimensional data
- Monitor ETL/ELT processes
- Optimize Snowflake workloads
- Set up data monitoring and validation
- Support incident resolution
- Support snowflake azure integration
- Tune SQL queries for performance
Perks/Benefits
- Company-sponsored 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 Governance | Data Lake Storage | Data Modeling | Data Quality | Data Sharing | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | Secure Data | Secure Data Sharing | Snowflake | Snowpipe | Star Schema | Streams | Tableau | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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