Data Engineer III
Support Services Headquarters Building, United States
USD 189K-248K (estimate) Senior-level Full Time
Tasks
- Apply data warehousing best practices
- Architect Snowflake based solutions
- Build Data Lakes and Data Warehouses
- Build cloud data platforms on Azure and AWS
- Configure Snowflake tasks and streams
- Create dimensional data models
- Design Snowflake data models
- Design scalable data pipelines
- Develop ELT/ETL processes
- Document data architectures and procedures
- Enable data sharing
- Establish data governance standards
- Implement Snowflake RBAC
- Implement automated data engineering patterns
- Implement cost optimization strategies
- Implement data integration solutions
- Implement data validation and testing
- Integrate cloud-native services
- Manage virtual warehouses
- Mentor junior engineers
- Monitor and optimize Snowflake performance
- Monitor pipeline health and performance
- Optimize data movement and transformations
- Optimize storage and query efficiency
- Participate in architecture reviews
- Perform root cause analysis
- Set up data monitoring and alerting
- Translate business requirements into technical solutions
- Troubleshoot data quality issues
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure DevOps | CI/CD | Clustering keys | Cost Optimization | Data Factory | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Sharing | Data Systems | Data Validation | Data Warehousing | Data integration | Databricks | Delta Lake | Dimensional Modeling | Distributed data | Distributed data systems | ELT | ETL | Git | GitHub Actions | Metadata Management | Performance Tuning | Python | RBAC | SQL | Snowflake | Snowflake SQL | Snowflake Streams | Snowflake Tasks | Virtual Warehouses | Web Services
Education
N/A
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