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Data Engineer

Mumbai, India

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What you’ll work on

Full posting
  • Build and optimize Snowflake and dbt data pipelines using advanced SQL and Python

  • Design and integrate data engineering and AI solutions, including LLM, RAG, and AI Agent use cases

  • Develop and manage system integrations and Control-M workflows across enterprise platforms

  • Partner with architects, engineers and business stakeholders to deliver production-ready solutions

  • Contribute to platform modernization, data quality, automation and AI innovation

From the employer’s posting
Build and optimize Snowflake 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.
Education & alternatives
Minimum Qualifications (Provide up to five (5) bullet points - these should be clearly defined, objective, non-comparative, relevant, and quantifiable to appropriately evaluate applicants – not including soft skills): - Bachelor’s or master’s degree in Computer science, Data Science, Artificial Intelligence, Engineering, or a related technical field. - 3+ years of experience in data engineering, solution architecture, or enterprise application development, including 2+ years delivering AI/ML or Generative AI solutions.

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • SAP
  • Snowflake
  • Spark
  • GCP
Source — Tool mentions in context
Join our team as a Data Engineer focused on modern data and AI solutions. This role offers the opportunity to work on high-impact platform modernization and AI initiatives from design through production. - Build and optimize Snowflake 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.
- 3+ years of experience in data engineering, solution architecture, or enterprise application development, including 2+ years delivering AI/ML or Generative AI solutions. - Hands-on experience developing data solutions using Snowflake, 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.
- Hands-on experience developing data solutions using Snowflake, 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, SAP HANA, SIT, data validation, and production deployment.
- Experience implementing Agentic AI, AI copilots, intelligent automation, or enterprise knowledge assistants using LangChain, LangGraph, Semantic Kernel, or similar frameworks. - Experience with enterprise data platforms including Snowflake, Databricks, dbt, Spark, vector databases, and data governance frameworks. - Strong understanding of Responsible AI, AI security, governance, model evaluation, and enterprise compliance considerations.
- 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, SAP HANA, SIT, data validation, and production deployment. Preferred Qualifications (Provide up to five (5) bullet points: these can include soft skills)

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Live
First seen by us
Sep 15, 2026 · 45 days ago
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138
Last seen by us
Oct 31, 2026

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Job description

View original posting ↗

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 shape Cisco's AI strategy 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 opportunity to work on high-impact platform modernization and AI initiatives from design through production.

  • Build and optimize Snowflake 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 (Provide up to five (5) bullet points - these should be clearly defined, objective, non-comparative, relevant, and quantifiable to appropriately evaluate applicants – not including soft skills): 

  • Bachelor’s or master’s degree in Computer science, Data Science, Artificial Intelligence, Engineering, or a related technical field.
  • 3+ years of experience in data engineering, solution architecture, or enterprise application development, including 2+ years delivering AI/ML or Generative AI solutions.
  • Hands-on experience developing data solutions using Snowflake, 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, SAP HANA, SIT, data validation, and production deployment.

Preferred Qualifications (Provide up to five (5) bullet points:  these can include soft skills)

  • Experience implementing Agentic AI, AI copilots, intelligent automation, or enterprise knowledge assistants using LangChain, LangGraph, Semantic Kernel, or similar frameworks.
  • Experience with enterprise data platforms including Snowflake, Databricks, dbt, Spark, vector databases, and data governance frameworks.
  • Strong understanding of Responsible AI, AI security, governance, model evaluation, and enterprise compliance considerations.
  • Excellent communication and stakeholder management skills, with the ability to collaborate with technical and business leaders across cross-functional teams.
  • Demonstrated innovation, continuous learning, and mentoring with the ability to drive AI solutions from proof of concept through production and enterprise adoption. 


Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 


Disclaimer

To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

  • be in direct response to an application you have submitted through the company career site
  • begin with screening or an interview
  • originate from a Cisco email address, and
  • be conducted across email, phone, or WebEx

 

Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.


If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.


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Mumbai, India

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