Data Engineering
Tasks
- Build and maintain data mart solutions
- Collaborate on feature design and story decomposition
- Contribute to continuous improvement culture
- Create and maintain deployment artifacts
- Define data retention and history strategies
- Design and implement dimensional data models
- Design, implement, and optimize data pipelines
- Develop and troubleshoot ETL ELT logic
- Identify technology risks and dependencies
- Implement Slowly Changing Dimensions
- Implement data quality controls and testing
- Implement data security and governance
- Manage metadata and improve data lineage
- Monitor pipelines and resolve production issues
- Perform root cause analysis
- Provide technical leadership for engineering practices
- Translate business needs into metric logic and data definitions
Perks/Benefits
Skills/Tech-stack
AI readiness | BigQuery | Cause analysis | Cloud Storage | Control-M | Data Governance | Data Marts | Data Modeling | Data Quality | Data Security | Data Warehousing | Data orchestration | Dimensional Modeling | Documentation | ELT | ETL | Exception Handling | GitHub | Google Cloud | Informatica | Integration Services | Jira | Job monitoring | Metadata Management | Monitoring | Power BI | Python | Root Cause Analysis | Root cause | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Server Integration Services | Slowly Changing Dimensions | Star Schema | Tableau | Testing | Version control
Education
N/A
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