Principal Data Engineer
Tasks
- Architect data pipelines
- Conduct technical design reviews
- Define data strategy and architectural tradeoffs
- Design low latency analytics pipelines
- Develop data models
- Enforce data engineering best practices
- Ensure data quality at scale
- Guide architectural guidance and strategy
- Implement data lineage catalog metadata
- Improve pipeline performance
- Lead data governance enablement
- Lead data integration modernization projects
- Lead platform enhancements for performance and cost
- Mentor junior data engineers
- Operationalize cloud native data pipelines
- Optimize ETL/ELT workflows
- Partner on governed trusted data products
- Serve as technical authority on cloud data platforms
Perks/Benefits
- Accident insurance
- Health checkups
- Inclusive culture
- Life insurance
- Professional development
- Tuition reimbursement
Skills/Tech-stack
Azure Databricks | Azure Synapse | Cloud Architecture | Data Catalog | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Delta Lake | Dimensional Modeling | Distributed Computing | ELT | ETL | Master Data | Master Data Management | Metadata Management | OLAP | OLTP | Observability | Orchestration | Performance Tuning | Power BI | Query Optimization | SQL | SQL Server | Semantic Modeling | Spark
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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