Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Culiacán, Sinaloa, Mexico
R
MXN 900K-1260K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling star schemas fact tables dimension tables
- Build Snowflake data warehouse objects
- Build data ingestion frameworks
- Collaborate with data architects and stakeholders on data models
- Design ETL/ELT pipelines
- Develop advanced SQL queries and performance tuning
- Develop reusable ingestion transformations loading processes
- Diagnose pipeline performance issues and support production incidents
- Implement Snowflake streams tasks stages Snowpipe
- Implement data quality controls validation monitoring
- Ingest data from REST APIs relational databases flat files cloud storage
- Maintain documentation for pipelines flows transformations models operations
- Monitor and optimize ETL ELT processes and SQL workloads for SLAs
- Optimize Snowflake virtual warehouses
- Support data governance security privacy compliance access controls masking
- Use Git and manage CI CD pipelines
Perks/Benefits
- Company sponsored exams
- Company-sponsored certifications
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Performance-based salary increases
- 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 Warehousing | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | SaaS integrations | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Stored Procedures | Terraform | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Science
Roles
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