Data Engineering Lead
Tasks
- Build cloud data solutions
- Build data pipelines
- Build data warehouse and lakehouse architectures
- Define data modeling standards
- Define data quality frameworks
- Design scalable data platforms
- Develop data modernization roadmaps
- Ensure data ecosystem availability and reliability
- Ensure data governance and compliance
- Establish reusable engineering frameworks
- Implement data observability
- Implement data validation and monitoring
- Implement dataops practices
- Implement deployment monitoring automation
- Integrate APIs and data services
- Lead data architecture reviews
- Manage Snowflake and Databricks workloads
- Mentor data engineering teams
- Optimize data pipelines performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | CI/CD | Cloud Data | Cloud data platform | Data Architecture | Data Engineering | Data Governance | Data Lakes | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Warehouse | Data platform | DataOps | Databricks | DevOps | ELT | ETL | Lakehouse | Metadata Management | Microsoft Azure | Python | SQL | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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