Data Engineer
Tasks
- Build and optimize data solutions
- Design data pipelines and ETL ELT frameworks
- Develop data validation data quality and data cleansing
- Ensure data platform security reliability scalability
- Establish data governance lineage and metadata management
- Implement modern data architectures
- Implement monitoring auditing and alerting
- Optimize database performance query execution and storage
- Resolve data anomalies inconsistencies and bottlenecks
- Support data migration modernization and integration
- Support real-time and batch processing
Perks/Benefits
- N/A
Skills/Tech-stack
Automation | Azure Synapse | Azure Synapse Analytics | Batch Processing | CI/CD | Data Cleansing | Data Governance | Data Lineage | Data Modeling | Data Processing | Data Quality | Data Reconciliation | Data Validation | Data Warehousing | Databricks | DevOps | ELT | ETL | Infrastructure as Code | Lakehouse | Metadata Management | Microsoft SQL | Microsoft SQL Server | PostgreSQL | Real Time | Real-time Data | Real-time Data Processing | SQL | SQL Server | Snowflake | Synapse Analytics | “as-code”
Education
Roles
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