Senior Data Engineer – Big Data & Streaming Platforms - Java/Scala or Python | Spark, Kafka | Flink, Iceberg / Lakehouse, Trino | 8 to 12 Years

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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Develop and operate big data platforms and Kafka-based streaming applications for ingestion, filtering, enrichment, and replication. Build data processing jobs with Spark and Flink, manage analytical datasets with Iceberg, and use Trino or Presto for querying. Optimize workloads for performance, scalability, and cost, while writing testable code and participating in reviews. Collaborate with product teams on data and analytics pipelines.
Summary Generated by Built In

Meet the Team 

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.

 

We are looking for a hands-on Senior Data Engineer to join a high-impact data engineering team with a focus on developing the data platform and working with the product team to develop data and analytics pipeline.

 

Your Impact 

  • 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.

Minimum 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.
  • Experience working with Kafka and scaling for high volume workloads.
  • Strong SQL skills and understanding of data modeling for analytical workloads

Preferred Qualifications

  • 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.
  • Experience working with tools like DolphinScheduler or Airflow.
  • Experience working with Lakehouse management systems like Apache Amoro.

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

  • At least 8-12 years of experience in data engineering and software development
  • Ability to work with open-source technologies and ecosystems
  • 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 such as Trino or Presto
  • Experience working with Kafka and scaling high-volume workloads
  • Strong SQL skills and understanding of data modeling for analytical workloads
  • Hands-on experience with real-time analytics stores such as Apache Pinot or ClickHouse
  • Familiarity with AI tools for debugging and development, including Copilot, Cursor, or Codex
  • Familiarity with data lake table formats such as Apache Iceberg
  • Familiarity with data governance tools such as DataHub
  • Experience with DolphinScheduler or Airflow
  • Experience with lakehouse management systems such as Apache Amoro

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.

  • 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.
  • 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.
  • 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.

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