• Develop complex SQL queries and scripts for data extraction, manipulation, and reporting • Create and maintain database schemas, tables, indexes, views, functions, triggers, and stored procedures • Design and implement SQL Database architectures, ensuring scalability and high availability • Develop, review, and fine-tune SQL queries to efficiently process large volumes of data • Implement validation rules and data checks to ensure the accuracy, consistency, and completeness of critical reporting datasets • Analyze cloud-based SQL queries and database performance metrics • Support the preparation of accurate and traceable data for regulatory reporting • Contribute to the design and maintenance of scalable, cloud-native data pipelines using Azure services • Work closely with business analysts, data engineers, and stakeholders from different markets

• Take ownership of features that align with product goals, contributing to a high-quality codebase across the stack. • Participate in planning and retrospectives to help the team meet sprint goals and continuously improve processes. • Review others’ code and provide constructive feedback to strengthen code quality, security, and maintainability. • Work closely with peers and stakeholders to understand requirements, refine solutions, and deliver outcomes that meet customer and business needs. • Adhere to and promote security practices so your code consistently aligns with Schema App standards.

• Lead the design, development, and deployment of full-stack applications and micro-frontends. • Architect and scale high-load systems to meet growing business demands. • Drive key architecture decisions and define technical roadmaps and objectives. • Develop robust backend services primarily using Python frameworks like Django and FastAPI. • Build responsive and modern user interfaces using React JS. • Implement and manage data-intensive platforms, including setting up and optimizing databases such as PostgreSQL/TimescaleDB. • Design, implement, and maintain ETL (Extract, Transform, Load) data pipelines. • Integrate AI/ML functionalities into applications. • Lead and mentor a team of 2-4 engineers, conducting code reviews and promoting best development practices. • Manage deployment through modern DevOps practices, including Docker, CI/CD, AWS, and Kubernetes.

• Create, test, maintain, and expand intelligent product libraries within Microvellum software. • Engineer product data for cabinets, fixtures, closets, office furniture, and related solutions. • Integrate hardware according to manufacturer specifications. • Develop rendered help images and documentation to support client usability. • Write and execute structured test scripts. • Identify data or software improvement opportunities. • Troubleshoot issues related to library functionality and manufacturing outputs. • Partner with Software Developers and Product teams to enhance system capabilities. • Collaborate with technicians and service providers to resolve data-related issues. • Participate in Agile development workflows and continuous improvement initiatives. • Develop help documentation, videos, and live training materials. • Support internal and external stakeholders with best practices. • Act as a subject matter expert in product engineering and library architecture.