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Data Engineer I
TD. Perform data modeling, data quality, data profiling, data acquisition and ingestion, ETL, metadata enrichment and management, data provenance and lineage, and specialized data management functions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data modeling, ETL processes, and data governance principles while effectively collaborating with cross-functional teams to deliver data solutions. Proficient in managing data quality, metadata, and lineage to ensure compliance with enterprise standards.
Highest-signal resume keywords
Data ModelingETL DevelopmentData Governance PrinciplesCI/CD Code PackagingData Quality Reporting
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 ModelingETLData QualityData ProfilingData AcquisitionMetadata ManagementData ProvenanceData LineageTechnical DocumentationData Life-Cycle Management
Soft Skills
CollaborationAnalytical ThinkingCommunicationProblem SolvingMentoring
Tools & Technologies
Industry Standard Modeling ToolsBank's Standard ETL ToolsServiceNowSource Code Repositories
Certifications & Qualifications
Degree in Data ManagementPostgraduate Degree in Related DisciplineTechnical Certificate in Data Management
Industry Keywords
Data Engineering FrameworksData GovernanceSecurity Coding PracticesPrivacyAccess Controls
Tech Stack
Tools & technologiesETLServiceNow
About the role
Key responsibilities & impact- Perform data modeling, data quality, data profiling, data acquisition and ingestion, ETL, metadata enrichment and management, data provenance and lineage, and specialized data management functions
- Perform data analysis and assess data management requirements for a specific Platform or Journey
- Maintain foundational knowledge of upstream data through data profiling, data quality reporting, and metadata production
- Support data acquisition and ingestion
- Articulate technical design and development details to non-technical business partners
- Elicit, analyze, and understand business and data requirements to develop complete business solutions under guidance
- Develop data models, ETL, business rules, data life-cycle management, governance, lineage, and metadata solutions
- Ensure data complies with enterprise data standards, policies, and guidelines
- Develop and maintain data models using industry standard modeling tools
- Develop and maintain ETL jobs using the Bank's standard tools
- Support development and testing teams in resolving data issues
- Support partners and stakeholders in interpreting and analyzing data
- Coordinate with technology work teams to ensure delivery success
- Support QA with data loads and data analysis during SIT/UAT/PAT testing
- Provide post-implementation support during the warranty period
- Manage source code check-in/check-out and support CI/CD code packaging and deployment
- Participate in application design and architecture reviews
- Support release management activities through ServiceNow and change management
- Capture metadata and data lineage compatible with enterprise tools and processes
- Document technical decisions, risks, lessons learned, and enhancements
- Identify, manage, and escalate risks
- Participate in knowledge transfer, cross-training, mentoring, and team development
- Define and validate user stories, acceptance criteria, and definitions of done/ready
- Keep current on emerging trends, tools, and techniques
- Report project and day-to-day activity status to others
Requirements
What you’ll need- Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
- 2-3 years of relevant experience
- Foundational knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures
- Foundational knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards
- Knowledge of data governance principles
- Knowledge of data modeling, ETL, data quality, data profiling, data acquisition and ingestion, metadata, data provenance, and lineage
- Experience with industry standard modeling tools and the Bank's standard ETL tools
- Knowledge of source code repositories, CI/CD, code packaging and deployment
- Knowledge of security coding practices, privacy, security, governance, and access controls
- Ability to perform moderately complex technical tasks independently and complex technical tasks under general supervision
- Ability to analyze, adapt, integrate, code, test, debug, and execute
- Ability to work collaboratively with technology, QA, development, testing, production support, change management, and business teams
Benefits
Comp & perks- Base salary and discretionary variable compensation award
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
- Regular development conversations
- Training programs
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Interview accommodations, including accessible meeting rooms and captioning for virtual interviews