Investment Data Engineer
Tasks
- Adapt portfolio analysis and reporting toolkit as needs change
- Build data structures for structured and unstructured data
- Build inbound asset feeds from source systems
- Deliver Python analytics to PowerBI reports
- Develop automated portfolio analysis and reporting
- Implement automated exceptions based control checks
- Normalize asset data attributes across business units
- Partner with stakeholders and technical teams on evolving source systems
- Set up and support data systems for stakeholders
- Translate stakeholder requirements into data architecture specifications
Perks/Benefits
- N/A
Skills/Tech-stack
AI Tooling | Automated reporting | Data Architecture | Data Normalization | Database systems | Databricks | PowerBI | Python | Snowflake | Structured data | Unstructured Data
Education
N/A
Roles
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