Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Trujillo, La Libertad, Peru
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build reusable data ingestion processes
- Collaborate with data architects and stakeholders
- Design ETL/ELT pipelines
- Develop Snowflake databases schemas tables views streams tasks stages and stored procedures
- Implement data quality controls validation and monitoring
- Implement dimensional modeling star schemas facts and dimensions
- Ingest data from REST APIs relational databases flat files and cloud storage
- Maintain documentation for pipelines and data models
- Manage CI CD pipelines and source code with Git and Azure DevOps
- Monitor pipelines and diagnose performance issues
- Optimize Snowflake workloads and SQL queries
- Support data governance and security access controls and masking
- Transform and load data into Snowflake
Perks/Benefits
- Company-sponsored certifications
- Conference attendance
- 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 Quality | Data Sharing | DevOps | Dimension tables | Dimensional Modeling | ELT | ETL | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | Relational databases | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Streams | Tableau | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
States
Cities
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