• Design and maintain enterprise databases, including stored procedures, indexing, views, SQL scripts, and database objects. • Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server. • Build data ingestion and transformation workflows across raw, staging, curated, and analytics data layers. • Develop and optimize SQL scripts and stored procedures for data conversion, validation, and ongoing processing. • Execute large-scale data migration projects, including data cleansing, validation, and transformation across enterprise systems. • Design and implement logical and physical data models (ERDs). • Develop database components supporting transactional and reporting systems. • Build and maintain reporting solutions using SSRS and Power BI. • Monitor, troubleshoot, and optimize SQL Server database performance. • Provide production support, including troubleshooting performance issues and participating in on-call support when needed. • Collaborate with developers, business users, QA teams, and project stakeholders. • Participate in Agile ceremonies, development activities, code reviews, testing, and release cycles. • Provide technical documentation and knowledge transfer.

• Design, develop, and maintain scalable backend services and APIs for cloud-native applications • Build and optimize distributed systems, payment processing pipelines, and backend infrastructure • Ensure high availability, security, scalability, and performance of backend systems • Participate in architecture discussions and contribute to technical strategy and decision-making • Collaborate with Product, Frontend, AI, and DevOps teams to deliver high-quality solutions • Mentor engineers through code reviews, technical guidance, and engineering best practices • Troubleshoot complex production issues and drive continuous improvements • Contribute to AI-powered product capabilities and AI/ML-driven initiatives • Promote engineering excellence, observability, and maintainability across services and infrastructure

• Design, develop, and maintain full-stack solutions using .NET (C#) and modern frontend frameworks. • Actively contribute to technical design and architectural decisions across applications. • Contribute to improve and maintain CI/CD pipelines, deployment processes, and overall DevOps efficiency. • Modernize legacy applications, reduce technical debt, and promote scalable, cloud-ready architectures. • Strengthen system reliability through proactive problem analysis, monitoring, and continuous improvement. • Collaborate closely with business representatives, architects, and cross-functional teams in an agile environment.

• We are looking for an ETL Developer with strong experience in Scala to join a team focused on building and optimizing data pipelines. • The professional will play a key role in developing scalable solutions, ensuring efficiency in processing and integrating large volumes of data. • Responsible for developing and maintaining ETL routines, working on data modeling and transformation, and collaborating with the team to evolve the data architecture. • Expected to contribute to development best practices, code quality, and the performance of deliverables.