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Senior Developer, Allowance for Credit Loss
Federal Communications Commission. Design and build modern, cloud-based data pipelines moving loan-related data into data marts .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building cloud-based data pipelines using Python, PySpark, and AWS technologies, while applying Data Vault 2.0 methodologies for ETL processes. Proven ability to lead Agile teams, mentor developers, and ensure alignment with enterprise standards in data solutions.
Highest-signal resume keywords
AWS TechnologiesPython ProgrammingETL Data Pipeline DesignData Vault 2.0 MethodologiesAgile Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonPySparkSQLETL DesignData ModellingObject-Oriented ProgrammingFunctional ProgrammingAutomationIntegration TestingContinuous Integration
Soft Skills
MentoringCollaborationTechnical LeadershipConstructive FeedbackCoaching
Tools & Technologies
AWS GlueAWS Step FunctionsAWS S3AWS RedshiftAWS QuicksightAWS LambdaAWS EventBridgeAWS SageMakerVersion ControlTypeScript
Industry Keywords
Financial ServicesLoansCredit ScoresRisk DataIFRS9 Accounting Standards
Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudETLPySparkPythonSQLTypeScriptVault
About the role
Key responsibilities & impact- Design and build modern, cloud-based data pipelines moving loan-related data into data marts
- Develop, test and deploy code using Python, PySpark and SQL
- Lead technical and solution design sessions within an Agile development team
- Use Data Vault 2.0 methodologies to design, build and maintain ETL data pipelines
- Ensure technical solutions, pipelines and data models align with enterprise standards and remain efficient and effective
- Collaborate with product owners, analysts, architects and internal data consumers across Reporting, Risk and Finance
- Mentor and coach developers, lead code reviews and provide constructive feedback
- Improve pipeline reliability through automation, integration testing and continuous integration practices
Requirements
What you’ll need- Bachelor’s degree in computer science, software engineering, data science or an equivalent field
- Minimum six years of software development experience (or an equivalent combination of education and experience)
- Expert-level proficiency in AWS technologies, including AWS Glue, Step Functions, S3, Redshift, Quicksight, Lambda, EventBridge or SageMaker
- Expert-level proficiency in Python and/or PySpark
- Extensive experience designing and building ETL data pipelines
- Data modelling experience in Data Vault 2.0 and Dimensional (Star Schema) methodologies
- Knowledge of object-oriented programming and functional programming paradigms
- Experience optimizing design to enable business value creation
- Experience with application design and system integration
- Experience with code reviews, version control and continuous integration
- Foundational knowledge of financial services concepts such as loans, credit scores and risk data
- English required
- Preferred: experience coaching and mentoring peers
- Preferred: experience building automation and integration tests and designing easy-to-use frameworks
- Preferred: working knowledge of TypeScript or AWS CDK
- Preferred: knowledge of IFRS9 accounting standards
Benefits
Comp & perks- Competitive total rewards packages, including performance-based salary and incentive programs
- Flexible and comprehensive group benefit and savings plans
- Well-being support through benefits and wellness programs
- Learning and development opportunities
- Hybrid work options