Data Engineer / Analytics Developer
Virtusa · Chicago, Illinois, United States
IT Services and IT Consulting · 10,001+ employees
About the role
The role involves designing and deploying automated data pipelines while developing full-stack web applications integrated with AI models. Additionally, the developer will manage enterprise SaaS system integrations and create high-performance data visualization dashboards.
What they look for
Requirements
Candidates must possess advanced proficiency in Python, SQL, and full-stack development frameworks like Next.js and Prisma. Expert-level knowledge in building ETL workflows and utilizing visualization tools such as Tableau and Power BI is also required.
Full description
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
