Data Science Analyst

🔥 2 minutes ago

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Logo of Cisco

Cisco

10,000+ employees

Founded 1984

🔧 Hardware

🔐 Security

🏢 Enterprise

Hardware • Security • Enterprise

Cisco is a multinational technology company that provides networking hardware, software, and services to enterprises, service providers, and governments. It builds routers, switches, optical transceivers, programmable silicon, and edge computing platforms, and offers security, collaboration (Webex), observability, and AI-enabled software and support services to help organizations design, operate, and secure large-scale networks and data centers. Cisco also delivers professional services, training, and cloud-managed solutions to support digital transformation and AI-ready infrastructure.

📋 Description

• Design and implement software features and enhancements within the AutoQuote application • Build and maintain data processing workflows using Prefect, GCP services, and REST APIs • Write clean, well-tested code that adheres to team standards and passes CI/CD quality gates • Actively use AI tools to accelerate development, generate and validate code, and solve complex engineering problems • Participate in architecture and design reviews • Collaborate with senior engineers, product management, and QA to translate requirements into robust, testable implementations • Lead code reviews for junior engineers and provide constructive technical feedback • Investigate and resolve production bugs; contribute to improving system reliability and operational health • Stay current on AI frameworks, cloud-native tooling, and engineering best practices

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field • 3–5 years of professional software engineering experience • Strong proficiency in Python • Experience building and maintaining data pipelines using workflow orchestration tools (Prefect, Airflow, or equivalent) and cloud data services • Hands-on experience with GCP and/or AWS • Demonstrated ability to use AI tools • Solid understanding of software testing practices, CI/CD pipelines, and agile development methodologies • Working knowledge of containerization (Docker) and familiarity with Kubernetes

🏖️ Benefits

• Competitive salary • Professional development opportunities • Health insurance • Paid time off • Flexible work arrangements • Global team events

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