What are the responsibilities and job description for the Senior Software Engineer position at Virtusa?
Key Responsibilities
Pipeline Development & Automation: Design, build, and deploy automated data pipelines to ingest, transform, and clean complex datasets. Utilize Python and SQL to reduce manual processing and improve system performance.
Full-Stack Development: Develop and maintain web applications and interfaces, including the integration of AI models, using modern frameworks like Next.js and Prisma.
System Integration: Execute technical implementation for enterprise SaaS projects. Manage the integration of diverse platforms to ensure seamless data flow and functionality.
Visualization Engineering: Develop and maintain high-performance dashboards in Tableau and Power BI, ensuring accurate representation of operational data and real-time performance tracking.
Code Implementation & Testing: Manage the end-to-end technical lifecycle, including user-acceptance testing, system cutover, production deployment, and post-launch troubleshooting (Hypercare).
Required Technical Qualifications
Programming: Proficient in Python (for scripting/data manipulation) and SQL (advanced queries, stored procedures, data modeling).
Web Development: Hands-on experience with full-stack development tools, specifically Next.js, Prisma, and integration with LLMs (e.g., Google Gemini).
Data Engineering: Expert-level knowledge of advanced Excel (Power Query/Pivot) and building automated ETL workflows.
Visualization Tools: Proficient in Tableau and Power BI for dashboard development and visual analytics
Pipeline Development & Automation: Design, build, and deploy automated data pipelines to ingest, transform, and clean complex datasets. Utilize Python and SQL to reduce manual processing and improve system performance.
Full-Stack Development: Develop and maintain web applications and interfaces, including the integration of AI models, using modern frameworks like Next.js and Prisma.
System Integration: Execute technical implementation for enterprise SaaS projects. Manage the integration of diverse platforms to ensure seamless data flow and functionality.
Visualization Engineering: Develop and maintain high-performance dashboards in Tableau and Power BI, ensuring accurate representation of operational data and real-time performance tracking.
Code Implementation & Testing: Manage the end-to-end technical lifecycle, including user-acceptance testing, system cutover, production deployment, and post-launch troubleshooting (Hypercare).
Required Technical Qualifications
Programming: Proficient in Python (for scripting/data manipulation) and SQL (advanced queries, stored procedures, data modeling).
Web Development: Hands-on experience with full-stack development tools, specifically Next.js, Prisma, and integration with LLMs (e.g., Google Gemini).
Data Engineering: Expert-level knowledge of advanced Excel (Power Query/Pivot) and building automated ETL workflows.
Visualization Tools: Proficient in Tableau and Power BI for dashboard development and visual analytics