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Bengaluru · On-site · 8-11 Yrs · 4 days ago
Enterprise Software & Network Solutions · 10000+ Employees · San Jose, US
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.
Hiring: Engineering, Data & Analytics
What employees say
+ Good benefits , peace of mind work, Free GYM , Good Medical Insurance , Good cab facility
− None to mention. There are few which exist is every company
More reviews on the company profile.
Interview experience · Software Development Engineer (SDE)
Code with Cisco Two rounds First resume based questions grilled on tech stack and projects what tech why this why that Second round was managerial role which is mostly technical discussion around technology that I used
Difficult difficulty · New Delhi · 1,787 reports
More interview insightsJob description
Overview
Webex Data Analytics Platform (WAP) engineering organization is responsible for developing the big data platform at Webex. The platform forms the base on which other teams, including the WAP team, develop their analytics and data pipelines.
Responsibilities
- Work and enhance big data related opensource technologies.
- Build and operate Kafka-based streaming applications, including ingestion, filtering, enrichment, and replication use cases.
- Develop data processing jobs using Apache Spark and/or Apache Flink, following established patterns and platform guidelines.
- Work with data lake technologies (Apache Iceberg) to manage large analytical datasets.
- Tune jobs for performance, scalability, and cost efficiency.
- Write clean, testable code and participate actively in code reviews.
Qualifications
- At least 8-12 years of experience in data engineering and software development.
- Ability to work with opensource ecosystem.
- Ability to write high-quality code in Java/Scala, Python, or equivalent languages.
- Practical experience with Apache Spark and Apache Flink.
- Practical experience with query engines like Trino/Presto.
- Strong SQL skills and understanding of data modeling for analytical workloads
- 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
Nice to have
- Hands-on experience with real-time analytics stores like Apache Pinot/Clickhouse for low-latency analytical queries.
- Familiarity using AI Tools for debugging and development (CoPilot, Cursor, Codex).
- Familiarity with data lake table formats such as Apache Iceberg.
- Familiarity with data governance tools like DataHub.
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Job application FAQ
Last updated 18 September 2026
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