Senior Data Engineer
Tasks
- Analyze data sources for architecture and solution fixes
- Build data modeling and data handling procedures
- Build visualizations for data quality and pipeline health
- Define data source contracts
- Design data governance
- Develop data dictionaries and data lineage
- Develop data storage and availability tests
- Ensure data quality with queries and statistical techniques
- Implement data platform reliability patterns
- Implement least-privilege access
- Implement performance monitoring protocols
- Implement self healing data processes
- Maintain DataOps practices
- Merge data into distributed systems
- Monitor pipeline health with telemetry
- Perform postmortem reports and share insights
- Perform root cause analysis for anomalies
- Transform raw data through end to end pipelines
- Write troubleshooting guides and operating procedures
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Azure Data | Azure Data Explorer | Azure Data Factory | Azure Data Lake | C# | C++ | Cause analysis | Data Compliance | Data Dictionary | Data Explorer | Data Factory | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data mesh | DataOps | Java | JavaScript | Least Privilege | Python | Root Cause Analysis | Root cause | SQL | Telemetry Monitoring
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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