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Qualys

Senior Big Data Engineer

Pune

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hirly's read of this role

Role family
Data & ML
Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Senior Big Data Engineer

Job Description: We are seeking a Senior Big Data Engineer to design, build, and operate core components of the data platform and pipeline architecture behind Qualys' Enterprise TruRisk Platform, processing billions of daily transactions.

Responsibilities:

  • Design, build, and maintain high-throughput data platform and pipeline components using Spark and Kafka.
  • Debug, tune, and optimize Spark jobs and Kafka pipelines to manage growing data volumes.
  • Collaborate with product, professional services, and sales engineering teams on architecture design and technical trade-offs.
  • Establish and refine technical standards, system documentation, and best practices across the engineering team.
  • Mentor junior and mid-level engineers on complex technical issues and pipeline performance.

Required Qualifications:

  • Minimum 5 years of experience in data engineering or big data platform development.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • Demonstrated experience designing, building, and optimizing distributed pipelines using Apache Spark and Apache Kafka.
  • Hands-on experience scaling data platform infrastructure to process high-volume/high-throughput transaction workloads.

Preferred Qualifications:

  • Experience working with high-volume, multi-tenant enterprise platform environments.
  • Proficiency in Scala, Java, or Python for data processing applications.
  • Proven experience mentoring junior or mid-level engineering team members.
Original posting on Qualys's site ↗

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