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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing scalable data architecture, with a strong focus on cloud-native solutions and responsible AI engineering. Proficient in extracting and transforming data for analytics, while advocating for data-driven product development and collaborating with cross-functional teams.
Highest-signal resume keywords
Data Architecture DevelopmentCloud-Native ArchitectureAI-Enabled Capabilities DevelopmentData Extraction and TransformationDevOps Practices in Data Engineering
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 ArchitectureData ExtractionData TransformationAI DevelopmentPythonReactAWSMongoDBCI/CDAutomated Testing
Soft Skills
CollaborationProblem SolvingAdvocacy
Tools & Technologies
Data PlatformsAPIsAutomation Patterns
Industry Keywords
Responsible AI EngineeringData EngineeringData AnalyticsDigital OnboardingRoot Cause Analysis
Tech Stack
Tools & technologiesAWSCloudMongoDBPythonReact
About the role
Key responsibilities & impact- Build, maintain, test and optimise scalable data architecture
- Extract and transform data for use by data analysts and scientists
- Load data into data platforms
- Develop comprehensive knowledge of the bank’s data structures and metrics
- Advocate for data-related changes needed for product development
- Practice DevOps adoption in data engineering delivery
- Perform root cause analysis and resolve issues
- Collaborate with core technology and architecture teams to build data knowledge and solutions
- Understand data platform cost levers and build cost-effective, strategic solutions
- Source new data using appropriate tooling and integrate it into overall solutions
- Participate actively in the data engineering community and support the bank’s strategic direction
Requirements
What you’ll need- At least two years of experience in data usage
- Experience extracting value and features from large-scale data
- Experience building intelligent digital onboarding journeys using React, Python, AWS and MongoDB
- Expertise developing AI-enabled and agentic capabilities using LLMs, AI agents, APIs and automation patterns
- Experience engineering and owning capabilities end-to-end
- Experience with cloud-native architecture, CI/CD and automated testing
- Knowledge of responsible AI engineering from technical design and experimentation through integration and production delivery