Software Mind

Backend Engineer

• Develop and maintain web applications using React.js, Node.js, TypeScript, and JavaScript.
• Design and implement backend services and APIs using Node.js, TypeScript, and RESTful practices.
• Collaborate with cross-functional teams to analyze, design, and ship new features.
• Implement responsive and seamless mobile-first designs.
• Ensure the technical feasibility of UI/UX designs.
• Optimize applications for maximum speed and scalability.
• Manage CI/CD pipelines and deployments using Azure DevOps.
• Participate in code reviews to maintain high development standards.
• Troubleshoot, test, and maintain the core product software to ensure strong optimization and functionality.
• Create Playwright automated UI Tests
• Work with SQL

Senior Full-Stack Engineer, React/Node.js

Data Engineer

• Design semantic, logical, and conceptual data models based on business domains and organizational processes.
• Define and standardize the corporate data model as part of the Data Governance initiative.
• Create and maintain reference architecture (logical and technical reference architectures) and design patterns for data domains.
• Co-create the strategy and roadmap for data architecture development that supports the vision of the Data Governance program and organizational goals.
• Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams to integrate models with the data catalog and metadata management tools.
• Support technical teams in implementing models in data layers.
• Participate in designing data integration, flow, and quality processes (data lineage, data contracts, data quality).
• Identify and certify authoritative data sources within organizational domains.
• Monitor the compliance of data solutions with Data Governance policies and standards as well as architectural recommendations.
• Support the resolution of data conflicts and issues.
• Create architectural documentation, metamodels, and inter-domain relationship diagrams.
• Consult on and develop good practices in the area of modeling, metadata, and information architecture.
• Collaborate on defining the vision, priorities, and directions for the development of data architecture in the organization.

Corporate Data Architect

Analyst

• Analyze datasets in terms of data quality (completeness, consistency, correctness, timeliness, etc.).
• Identify data quality issues and assess their impact on reporting, analytics, and business processes.
• Define Data Quality rules (business rules, technical rules, acceptance thresholds).
• Work with Data Owners and Data Stewards to refine data definitions and quality expectations.
• Translate business requirements into specific data quality rules and controls.
• Collaborate with technical teams on implementing DQ rules in tools and data pipelines and on data quality monitoring.
• Analyze data quality control results and recommend corrective actions.
• Participate in designing data quality management processes within the Data Governance framework.
• Co-create standards, documentation, and best practices in the Data Quality area.
• Support business teams in understanding data quality issues and their consequences.

Data Quality Analyst

DevOps Engineer

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