Overview
This posting highlights potential upcoming opportunities at Cisco. The exact role may not be open currently, but candidates who apply may be contacted by a Cisco representative if a suitable position becomes available.
Meet the Team
- Our team manages the full lifecycle of people data. The current focus is on modernizing established Oracle data warehouses into a Google Cloud based data lake to support seamless data flow.
- The team supports the company’s AI strategy by transforming and distributing high quality data that powers advanced analytics and machine learning initiatives.
- We are a collaborative group that values a growth focused culture, combining the experience of seasoned data architects with the modern cloud perspectives of newer engineers.
You will contribute to a major architectural transformation and gain hands on experience addressing complex data challenges while helping prepare infrastructure for the future of AI.
Impact
- Work with the team to build the data foundation supporting the organization’s AI initiatives by modernizing the way people data is managed and distributed.
- Gain practical exposure to environments involving Oracle data warehouses and modern Google Cloud data lakes.
- Design and build data transformation pipelines, manage system integrations, and assist in evolving the data architecture required for advanced analytics.
- Help ensure that data remains clean, accessible, and ready for AI driven analysis so the organization can make informed decisions.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or another quantitative field.
- Strong proficiency in SQL including writing complex queries, joins, and data manipulation.
- Foundational experience with at least one programming language commonly used in data pipelines such as Python or Java.
- Understanding of data warehousing concepts including ETL or ELT processes, schema design, and data modeling, along with familiarity with relational database management systems.
Preferred Qualifications
- Academic or project exposure to cloud platforms such as Google Cloud Platform, AWS, or Azure, and interest in learning modern data lake architectures.
- Familiarity with Agile or Scrum environments and tools like Jira or Confluence.
- Ability to troubleshoot technical issues and communicate complex data insights to both technical and non technical stakeholders.
- Strong analytical ability and interest in learning modern data engineering practices.
Why Cisco
Cisco develops technologies that help organizations connect, protect, and operate across the digital world. For more than four decades the company has created solutions that bring together people, infrastructure, and data with strong security, visibility, and insight.
With a global network of innovators and experts, Cisco continues to experiment and build meaningful solutions. Collaboration and shared expertise allow teams to create impactful technologies used across industries around the world.
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Key Skills
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Education Requirements
- Bachelor’s degree in Computer Science
- Information Technology
- Data Science
- Engineering or related quantitative 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.
Company Details
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