Meet the Team

Join a high-performing team that is transforming the way Cisco delivers enterprise data, analytics, and AI-driven business solutions. Our organization builds next-generation platforms that power critical business capabilities across Sales, Customer Success, Services, Renewals, and Enterprise Agreements. We are at the forefront of leveraging Generative AI, Agentic AI, Machine Learning, and modern cloud technologies to automate complex workflows, accelerate engineering productivity, and deliver intelligent business insights at scale. As part of this team, you will deliver Ciscos strategic priorities by designing innovative solutions that solve real business challenges while influencing enterprise-wide technology adoption.

Your Impact

Join our team as a Data Engineer focused on modern data and AI solutions. This role offers the prospect to work on high-impact platform modernization and AI initiatives from design through production.

- Build and optimize Snowflake, SAP HANA and dbt data pipelines using advanced SQL and Python.
- Design and integrate enterprise data engineering and AI solutions, including LLM, RAG, and AI Agent use cases.
- Develop and manage complex system integrations and Control-M workflows across enterprise platforms.
- Partner with architects, engineers, and business stakeholders to deliver secure, scalable, and production-ready solutions.
- Contribute to platform modernization, data quality, automation, and AI innovation across the enterprise.

Minimum Qualifications

- Bachelors or masters degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related technical field.
- 5-10 years of experience in data engineering, solution architecture, or enterprise application development,



including delivering AI/ML or Generative AI solutions.
- Hands-on experience developing data solutions using Snowflake, SAP HANA, dbt, advanced SQL, and Python, including enterprise data pipelines and integrations.
- Experience with LLMs, Generative AI, RAG, or AI Agents, with exposure to cloud platforms such as AWS, Azure, or Google Cloud.
- Experience delivering enterprise-scale integrations and modernization initiatives, including APIs, Control-M, System integration, data validation, and production deployment.

Preferred Qualifications

- Advanced Data Engineering: Hands-on experience with Snowflake, SQL, Python, dbt, ETL pipelines, and large-scale data platform modernization.
- AI Intelligent Automation: Experience applying Generative AI, LLMs, and AI Agents to data engineering, validation, and operational automation. Proven ability to independently design, develop, and deliver scalable, production-ready enterprise solutions.
- Problem-Solving Ownership: Strong analytical skills, proactive ownership, and ability to troubleshoot complex technical challenges.
- Communication Collaboration: Effective communication, cross-functional collaboration, and ability to work with technical and business stakeholders. Strong understanding of Responsible AI, AI security, governance, model evaluation, and enterprise compliance considerations.
- Demonstrated innovation, continuous learning, and mentoring with the ability to drive AI solutions from proof of concept through production and enterprise adoption.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Mumbai)
🏢 Cisco
📍 Mumbai