Senior Data Management Professional - Data Engineering - Listed Derivatives Data, Tokyo
Tasks
- Analyze processes and improve workflows
- Apply machine learning to improve workflows
- Build ETL data pipelines
- Collaborate on data manipulation frameworks
- Create solutions for derivatives data challenges
- Design producer database structures
- Devise data quality strategies
- Establish standard methodologies
- Implement data acquisition strategies
- Ingest, transform, and load data
- Maintain derivatives data fields
- Manage technical projects
- Measure data timeliness and completeness
- Oversee data governance
- Set business rules for data accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon S3 | Business Rules | Data Governance | Data Modeling | Data Pipelines | Data Quality | ETL | Machine Learning | Microservices | Pandas | Project Management | Python | Qlik | QlikSense | SQL
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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