Data Engineer
Tasks
- Administer relational databases
- Build deploy maintain data pipelines
- Collaborate with stakeholders define quality thresholds acceptance criteria
- Design ETL/ELT pipelines
- Develop data quality monitoring observability
- Develop monitoring dashboards alerting
- Implement automated data quality checks validation anomaly detection
- Implement database security access controls auditing
- Implement workflow orchestration scheduling monitoring
- Monitor database health & troubleshoot issues
- Optimize data ingestion, transformation, & storage
- Perform data profiling lineage tracking metadata management
- Perform database performance tuning indexing query optimization
- Plan backup restore disaster recovery high availability
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible spending accounts
- Health insurance
- Life insurance
- Paid time off
- Retirement plan
- Vision insurance
Skills/Tech-stack
Access Control | Auditing | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure SQL | Azure Synapse | Data Factory | Data Integrity | Data Lake Storage | Data Lineage | Data Observability | Data Quality | Data orchestration | Data profiling | Database performance | Database performance tuning | Database security | Databricks | Disaster Recovery | ELT | ETL | GitHub | GitHub Actions | GitLab | High Availability | Indexing | Metadata Management | Performance Tuning | PostgreSQL | PySpark | Python | Query Optimization | SQL | SQL Server | Spark | Workflow Scheduling
Education
Roles
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