Data Engineer
Tasks
- Build secure data platforms
- Collaborate on cybersecurity standards and secure data platforms
- Create project plans and timelines with Azure DevOps
- Create reporting for analytics and insights
- Design data models for analytics
- Design, build, and maintain data pipelines
- Develop and manage dashboards in Tableau and Power BI
- Develop and optimize data marts
- Document data processes and system configurations
- Extract transform and load data using ETL
- Implement data quality validation and testing
- Integrate consolidate data from multiple sources
- Manage risks and contingency plans
- Monitor and troubleshoot data pipelines
- Monitor milestones and deliverables
- Optimize query performance and pipeline efficiency
- Perform data cleansing normalization aggregation and enrichment
- Support team training and knowledge sharing
- Translate business requirements into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Azure Data | Azure Data Factory | C++ | Data Aggregation | Data Cleansing | Data Enrichment | Data Factory | Data Flow | Data Flow Diagrams | Data Modeling | Data Normalization | Data Quality | Data Validation | Data Warehousing | Dimensional Modeling | ETL | Entity Relationship Diagrams | Entity relationship | Flow diagrams | Java | Microsoft Fabric | Power BI | Python | Relational databases | Relationship Diagrams | SFTP | SQL | Scala | Streaming | Tableau
Education
N/A
Roles
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