Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Meet the Team
Enterprise Data Foundation telemetry, as part of Cisco's telemetry data offerings, enables enhanced visibility of data for product adoption, up sale and cross sell across Cisco's enterprise portfolio. It collects and streams telemetry data from various Cisco products, such as Catalyst Center, Cisco Firewall, WebEx, Data Center product to name a few to provide insights into device performance, usage, and potential risks. This telemetry data helps customers and Cisco proactively identify opportunities for sales and CX to improve overall product experience.
Key aspects include:
- Collection of performance and operational data from customer product deployment and management platforms.
- Enabling analytics to understand feature utilization and customer satisfaction.
- Supporting proactive risk mitigation campaigns and customer enablement through targeted communications.
- Secure collection and handling of telemetry data with customer privacy considerations.
Your Impact
- Snowflake objects such as databases, schemas, tables, views, and store procedures.
- Design, develop, and implement scalable and efficient data pipelines using AWS services (e.g., S3, EC2, ECS, Aurora).
- Write high-quality, maintainable Python code for data extraction, transformation, and loading (ETL) and Machine leaning / AI (LLM) processes.
- Develop and integrate with Web Services, Micro Services, and APIs to ingest and expose data from various internal and external sources.
- Implement robust Data Engineering solutions, including data modeling, database design, and data warehousing.
- Optimize data storage, retrieval, and processing for performance and cost-efficiency on AWS.
- Monitor and troubleshoot data pipeline issues, ensuring data quality, integrity, and availability.
- Collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver solutions.
- Contribute to the development and enforcement of data governance policies and standards.
- Stay up-to-date with emerging technologies and industry trends in Data Engineering, cloud computing, and data management.
Minimum Qualifications:
- Proven experience in Data Engineering roles, with a strong portfolio of data pipeline development.
- Proficiency in Python for data manipulation, automation, and scripting.
- 3+ years of professional experience in data engineering or a similar role.
- Experience with Snowflake objects such as databases, schemas, tables, views, and store procedures along with DBT and Control-M.
- Experience with cloud platforms, particularly AWS, including services relevant to data storage, processing, and analytics.
- Solid understanding and practical experience with designing and consuming Web Services and APIs.
- Familiarity with Micro Services architecture and its implications for data integration.
- Experience with relational and NoSQL databases.
- Strong understanding of data warehousing concepts and best practices.
- Ability to work independently and as part of a collaborative team.
- Strong communication and interpersonal skills.
Preferred Qualifications:
- Worked on at least one Machine Learning data pipeline
- Worked on at least one LLM based project
- Usage of large language models for development
- Understanding Text Classification
- Understanding of Tokenization and vectorization
- Understanding of Statistical analysis of data
- Excellent problem-solving and analytical skills.
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.
Skills Required
- Proven experience in data engineering roles with a strong portfolio of data pipeline development
- Proficiency in Python for data manipulation, automation, and scripting
- 3+ years of professional experience in data engineering or a similar role
- Experience with Snowflake databases, schemas, tables, views, and stored procedures, along with DBT and Control-M
- Experience with cloud platforms, particularly AWS and relevant storage, processing, and analytics services
- Experience designing and consuming web services and APIs
- Familiarity with microservices architecture and data integration implications
- Experience with relational and NoSQL databases
- Strong understanding and practical experience with data warehousing concepts and best practices
- Ability to work independently and collaboratively
- Strong communication and interpersonal skills
- Experience working on at least one machine learning data pipeline
- Experience working on at least one LLM-based project
- Use of large language models for development
- Understanding of text classification
- Understanding of tokenization and vectorization
- Understanding of statistical analysis of data
- Excellent problem-solving and analytical skills
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
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Leave & Time Off Breadth — Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
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Parental & Family Support — Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
