Data engineer for Partner Hub Analytics

Cisco's Webex Engineering Group is redefining the future of collaboration. We're building a world where people connect effortlessly to enjoy modern, uncompromised collaboration across every room, desk, pocket, and application. Our technology powers industry-leading products like Slido, Webex Meetings, Webex Calling, and Webex Contact Center. As a member of our team, your work will ensure every user gets a truly immersive experience regardless of device or location, empowering the hybrid working patterns of the future.

• Design, implement, and maintain data pipelines for both streaming and batch processing with guidance from senior team members.
• Develop and optimize data workflows using Apache Pinot, Apache Iceberg, Flink, and Spark.
• Participate in the full software development lifecycle, including design discussions, code reviews, and testing.
• Improve data pipeline performance, reliability, and observability by identifying and resolving technical issues.
• Leverage AI coding tools (e.g., Copilot, Cursor) to accelerate your productivity and learning.
• Collaborate closely with software engineers, product management, and data teams.
• Participate in incident resolution and learn from production issues through postmortems.
• Commit to continuous learning, data quality, and operational excellence.

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 3+ years of professional data engineering or software engineering experience (or equivalent internship/project experience).
• Foundational knowledge of data processing frameworks (e.g., Spark, Flink) and/or distributed systems.
• Solid understanding of software development and architecture concepts with a willingness to learn new technologies quickly.
• Будет плюсом: Familiarity with Apache Pinot, Apache Iceberg, Flink, or Spark; Familiarity with Java, Python, or Scala; Familiarity with Git, CI/CD pipelines, and cloud environments; Familiarity with AI coding tools (e.g., Codex, Cursor, Copilot); Eagerness to learn how to debug and resolve production data issues; Ability to apply creative skills to complex data problems; Flexible, thrives in diverse team environments, and communicates clearly and precisely; Strong attention to detail and a commitment to continuous learning and quality results

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