Data Engineer / Analytics Developer

Virtusa; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Virtusa is seeking a Data Engineer / Analytics Developer to design and automate data pipelines, transforming complex datasets with Python and SQL. You will also build web interfaces with Next.js and Prisma, integrating LLMs, and lead visualization work in Tableau and Power BI.

You will own end-to-end delivery from data ingestion to production deployment, ensuring robust data flows across enterprise SaaS platforms and real-time analytics for stakeholders.

Qualifications

• Proficient in Python and SQL with data modeling and ETL experience.
• Hands-on web development with Next.js and Prisma; experience integrating LLMs.
• Advanced Excel (Power Query/Pivot) and building automated ETL workflows.
• Tableau and Power BI dashboard development and visual analytics.

Responsibilities

• Build, deploy automated data pipelines to ingest, transform, and clean complex datasets.
• Develop and maintain web applications and interfaces with AI model integration.
• Integrate diverse platforms for enterprise SaaS projects to ensure seamless data flow.
• Develop dashboards in Tableau and Power BI with real-time performance tracking.
• Manage end-to-end lifecycle: testing, cutover, deployment, and post-launch troubleshooting.

Skills

Python

SQL

Next.js

Prisma

LLMs

Tools

Next.js

Prisma

Google Gemini

Tableau

Power BI

Job description

Job Description - Data Engineer / Analytics Developer (261421)

Job Description

Description

Pipeline Development & Automation Design

Build, 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 such as 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.