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Master's Scholarship Fellow, SQL, Relational Modeling, Data Quality, Python/PySpark
Sistema Fibra. Inventory data sources for collateral, transactions, customers, assets, amounts, events, and statuses .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data modeling, data quality, and data lineage, with proficiency in SQL and Python/PySpark. Capable of automating data validations and supporting data provisioning for simulations and dashboards.
Highest-signal resume keywords
SQL KnowledgeData ModelingData QualityPython/PySpark KnowledgeDatabase Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Dictionary DefinitionRelational ModelingDimensional ModelingData Lineage KnowledgeData Catalogs KnowledgeData APIs KnowledgeVersion Control KnowledgeAutomated Consistency ValidationsAudit Trails AutomationData Provisioning
Certifications & Qualifications
Master's Degree
Industry Keywords
Financial CollateralControlled Real-World DataSimulationsEngineDashboards
Tech Stack
Tools & technologiesPySparkPythonSQL
About the role
Key responsibilities & impact- Inventory data sources for collateral, transactions, customers, assets, amounts, events, and statuses
- Build the project's minimum viable data model
- Define the data dictionary, completeness, quality, lineage, and traceability criteria
- Prepare datasets for the three pilots using controlled real-world data
- Automate consistency validations and audit trails
- Support data provisioning for simulations, the engine, and dashboards
Requirements
What you’ll need- Completed master's degree
- Degree in Computer Science, Data Engineering, Information Systems, Statistics, Mathematics, Engineering, Data Science, or a related field
- Knowledge of SQL
- Knowledge of relational and dimensional modeling
- Knowledge of data quality and data lineage
- Knowledge of database integration
- Knowledge of Python/PySpark
- Knowledge of version control
- Knowledge of data catalogs
- Knowledge of data APIs and access controls
- Availability to work 40 hours per week
- Experience with implemented projects related to financial collateral, preferably in production (preferred)
- Demonstrable measurable results (preferred)
- Technical and scientific publications or intellectual property registrations related to the subject matter (preferred)
Benefits
Comp & perks- Gross monthly scholarship stipend of BRL 9,000.00
- Possibility of scholarship renewal or permanent employment after 12 months
- Remote work/home office