Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling star schemas
- Build data ingestion transformations loading processes
- Collaborate on logical and physical data models
- Collaborate with cross-functional teams
- Design ETL/ELT pipelines
- Develop ingestion frameworks
- Enforce data security privacy access controls and masking
- Implement Snowflake objects streams tasks stages
- Implement data quality controls validation and monitoring
- Ingest data from REST APIs relational databases flat files and cloud storage
- Maintain pipeline and data model documentation
- Monitor pipelines diagnose performance issues and resolve incidents
- Optimize Snowflake workloads and SQL queries
- Support data governance and compliance
Perks/Benefits
- Company-paid 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 Privacy | Data Quality | Data Security | Data masking | Dimension tables | Dimensional Modeling | ELT | ETL | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Stored Procedures | Streams | Tableau | Tasks | Terraform | Virtual Warehouses | “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
Regions
Countries
States
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