Vytwo Technologies Inc

Data Engineer

• Partner with business stakeholders, Product Owners, SMEs, analysts, and development teams to understand business processes, data requirements, source systems, data mappings, and data consumption needs.
• Translate business requirements, processes, and rules into logical and physical data models, source-to-target mappings, and data integration specifications.
• Define and implement test data strategies that support functional, regression, integration, performance, automation, and modernization testing needs.
• Design and govern reusable test data patterns, test data provisioning approaches, masking strategies, synthetic data solutions, and environment refresh processes.
• Demonstrate strong understanding of data modeling principles, including entities, attributes, relationships, schemas, primary and foreign keys, indexes, constraints, and overall database design.
• Read, interpret, and analyze Entity Relationship Diagrams, database schemas, data dictionaries, and end-to-end data flow diagrams to identify data dependencies and business impact.
• Perform data discovery, analysis, and data mining across multiple databases, tables, files, and source systems using SQL, Easytrieve, and other data query and extraction tools.
• Validate data quality, integrity, consistency, and accuracy by analyzing data relationships, transformation logic, reconciliation results, and business rules across systems.
• Develop an understanding of data movement and integration patterns, including real-time and batch processing, event-driven architectures, APIs, messaging queues, data pipelines, and file-based interfaces.
• Collaborate with architecture, development, testing, and operational teams to support data analysis, problem resolution, impact assessments, test automation enablement, and system modernization initiatives.
• Ensure test data solutions comply with data privacy, data protection, retention, classification, and regulatory requirements for sensitive customer and financial data.
• Document data models, test data design patterns, source-to-target mappings, provisioning processes, standards, and best practices for repeatable enterprise use.

Data Architect

Engineering Manager

• Lead sprint execution with the scrum team; participate in daily scrum calls
• Ensure the team meets sprint goals (committed deliverables) and quality standards (defect reduction)
• Serve as the first point of escalation for delivery and quality challenges during sprint execution
• Own resource planning, forecasting, and onboarding of new team members (software setup, technical KT)
• Drive team building, development, and continuous improvement
• Sizing and estimation for new initiatives, projects, and backlog features
• Collaborate with technical architecture teams on design for new projects and features
• Partner with Product Owners/Product Managers to understand product vision, objectives, and metrics
• Create and maintain effective software delivery frameworks that ensure quality
• Establish and enforce code review processes, adherence to coding standards
• Establish automated quality control processes (CI/CD pipelines including standards checks, automated functional, security, and performance testing)
• Ensure technical design and code are maintainable, reusable, scalable, and performant