Top Tech Jobs & Startup Jobs in Chennai

The Data Science Senior Analyst conducts strategic data analysis, drives optimization, leads system changes, and communicates complex data insights to business clients. Requires strong analytical skills and team leadership.

The Applications Development Programmer Analyst contributes to the implementation and enhancement of application systems, providing technical solutions, analyzing security issues, and advising junior analysts.

The role involves application system development, automation with Selenium and Cucumber, and requires experience in the financial services industry.

The Enterprise Workforce Management Product Lead oversees technology capabilities for workforce management, ensuring alignment with HR needs, analyzing data for insights, and collaborating on product development.

The role involves developing application systems, collaborating with technology teams, analyzing vulnerabilities, and mentoring junior analysts, with a focus on problem-solving and compliance.

Lead applications development, overseeing full stack engineering activities. Design, develop, and maintain web applications while ensuring high quality and performance. Advise mid-level developers and manage integration across functions, addressing complex technology solutions and driving compliance with business regulations.

The Project Lead oversees project execution, ensures stakeholder engagement, assesses risks, and influences strategic decisions to meet business objectives while managing resources and budgets.

The role involves analyzing business processes, designing systems, integrating solutions using REST APIs, and supporting applications for risk compliance. Requires extensive knowledge in UI technologies, data management, and development lifecycle.

The role involves developing applications, analyzing systems, consulting with clients, debugging, and mentoring junior analysts in the financial services sector.

The Optimization Lead oversees efficiency frameworks in production operations, focusing on AI-enabled optimizations, analytics, operational workflows, and leadership, ensuring actionable insights and continuous improvement across data handling.