Data Engineer

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 find opportunities for sales and CX to improve overall product experience.

Your Impact

• 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 solid portfolio of data pipeline development.
• Proficiency in Python for data manipulation, automation, and scripting.
• 7+ years of professional experience in data engineering or a similar role.
• Extensive experience in Data Warehouse platforms like Snowflake or BigQuery.
• Extensive 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.

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

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• 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

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