Top Tech Jobs & Startup Jobs in Chennai

The Automation Engineer is responsible for leading automation efforts, providing guidance on complex technical issues, and integrating projects into operations. The role involves creating and maintaining data systems, reporting performance metrics, and applying advanced engineering methodologies. The engineer also serves as a team lead for multiple projects, ensuring efficient operation and problem resolution.

The Engineer 3, Database Administration coordinates the operation of complex databases, performs database administration tasks, designs and implements database systems, and collaborates with development teams on schema designs. Key responsibilities include hardware and software evaluation, performance tuning, backup and recovery planning, and policy development.

Responsible for end-to-end ownership of projects across the entire stack. Build products with web frameworks, APIs, databases, and Backend languages. Solve challenges impacting front-end and backend architecture to deliver global customer experiences. Work with moderate guidance in own area of knowledge.

Responsible for assisting in the design, integration, testing, and support of innovative products involving web service offerings. Works with moderate guidance to develop solutions and provide leadership in own area of knowledge.

Provide hands-on leadership and administration of SAP Basis for various SAP systems. Responsible for system copy, client copy, transport management, system monitoring, performance tuning, database management, SAP GUI, and staff management. Must have a strong understanding of system administration and development life cycle methodologies.

This role involves network site planning, managing equipment deployment, and the basic design of network instances. The engineer will respond to network incidents, manage deployment teams, and design efficient network solutions for customers, while ensuring timely delivery of services and maintaining network documentation.

The Data Engineer 2 is responsible for designing and maintaining data architecture, developing frameworks for data ingestion and quality control, and ensuring data integrity across various platforms. They collaborate with data analysts to align data structures with business needs while leveraging technologies for structured and unstructured data management, both on-premises and in the cloud.