Overview
Meet the Team
Join the Cisco IT Data team, focused on using technology and AI to deliver meaningful business outcomes. The team collaborates closely to build end-to-end platforms and services that support competitive sales insights and financial management reporting for Cisco.
You will work in a collaborative and innovative environment that encourages new ideas and practical solutions. The team culture supports experimentation while delivering reliable data platforms for enterprise use.
Your Impact
As a Data Engineer, you will design and maintain scalable data processing platforms supporting Corporate Functional Data IT. The role involves working alongside senior data engineers to produce quality code along with unit testing results and reports.
You will help operate and optimize multiple data pipelines, integrate modern technologies for faster insights, and support analytics and data modeling initiatives. The role also provides exposure to building and maintaining automation frameworks.
Key Responsibilities
- Data Availability and Architecture Acceleration: Develop data integration and implementation solutions that ensure reliable data availability.
- Project Delivery: Contribute to the timely completion of assigned projects.
- Software Development Lifecycle Participation: Participate in development, testing, and deployment of data applications, working with databases across on-premises and cloud environments.
- Innovation and Transformation: Support improvements in data infrastructure and processes to increase efficiency and performance.
- Cross-Functional Collaboration: Work with engineering and platform teams to align operational objectives with technical implementation.
Minimum Qualifications
- Bachelor’s degree in Engineering, Technology, or a related discipline.
- Recent graduates with a solid understanding of data warehousing, data transformation, and pipeline concepts.
- Knowledge of cloud data platforms and database technologies, preferably Snowflake.
- Familiarity with ETL or ELT tools such as Informatica and DBT.
- Understanding of data streaming technologies such as Kafka.
- Hands-on scripting and programming experience with Unix shell scripting, Python, and SQL.
- Basic knowledge of enterprise AI integrations such as MCP Server and RAG.
Preferred Qualifications
- Understanding of real-time data and stream processing systems.
- Familiarity with data visualization tools and related techniques.
- Knowledge of data governance, security, and compliance practices.
- Exposure to AI or ML technologies within the data domain, including LLMs and predictive analytics.
About Cisco
Cisco develops technologies that connect and secure organizations across the digital world. For over four decades, the company has delivered solutions that bring together infrastructure, data, and security to support how people and technology work together.
With a global network of engineers and experts, Cisco continues to build platforms that provide visibility, protection, and insights across modern digital environments.
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Education Requirements
- Bachelor’s degree in Engineering, Technology, or a related field
Eligible Batch Years

Cisco
Cisco Systems, Inc. is a globally renowned leader in networking technology, cybersecurity, and communications solutions. Founded in 1984, Cisco has played a pivotal role in shaping the internet and enterprise networking landscapes. With its mission to power an inclusive future for all, the company develops and sells a wide range of products and services, including routers, switches, cloud-based collaboration tools, and security solutions. Cisco serves enterprises, governments, and service providers worldwide, enabling digital transformation and secure connectivity.
Headquartered in San Jose, California, USA, Cisco employs over 80,000 people globally and maintains a strong market position as one of the most influential multinational technology corporations. The company is consistently recognized for innovation, sustainability initiatives, and corporate social responsibility. Recent achievements include advancements in AI-driven networking, expansion of its cybersecurity portfolio, and strategic acquisitions to bolster its cloud and hybrid work offerings.
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