Data Engineer II
zebra
Staff Big Data Engineer
qualys· QLYS_IN Qualys Security TechServices Private Ltd.
About this role
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Job Summary
Qualys is seeking a Staff Big Data Engineer to define and drive the technical vision for the data platform and pipeline architecture powering the Enterprise TruRisk Platform. This role focuses on designing, scaling, and optimizing distributed data systems that process billions of events and transactions daily. The position requires hands-on technical leadership, architecture ownership, and direct involvement in solving large-scale performance and reliability challenges.
Responsibilities
- Define the technical vision and long-term strategy for the data platform and pipeline architecture.
- Design and maintain scalable, high-availability data processing systems supporting billions of daily events and transactions.
- Lead architecture and design decisions across multiple engineering teams, ensuring alignment with business objectives including scalability, performance, reliability, cost, and time-to-market.
- Identify, troubleshoot, and resolve data platform performance bottlenecks and scalability challenges.
- Design and implement event-driven and streaming data architectures using distributed processing technologies.
- Partner with Product Management, Professional Services, and Sales Engineering teams to evaluate technical solutions and trade-offs. Establish engineering standards, architectural guidelines, and platform best practices.
- Research, evaluate, and recommend technologies for large-scale data processing and analytics platforms.
- Mentor engineers on distributed systems design, performance optimization, and big data technologies.
- Support technical reviews, architecture governance, and engineering excellence initiatives.
Preferred Qualifications
- Experience with Elasticsearch or Apache Solr.
- Experience with Trino.
- Experience with Apache Airflow.
- Experience with distributed caching technologies.
- Experience implementing Lambda, Kappa, or Kappa++ architectures.
- Experience with Apache Flink and real-time stream processing. Experience with rule-engine platforms.
- Experience deploying and supporting machine learning models in production.
- Experience administering enterprise Big Data platforms and services.
Technical Skills
Apache Spark Apache Kafka Hadoop ecosystem technologies Data lake architectures Event-driven architectures Distributed data processing systems Oracle Database Cassandra Redis Performance tuning and benchmarking of large-scale systems Linux/Unix environments Large-scale infrastructure troubleshooting and optimization
Professionnal Experience
- Minimum 12 years of experience in software engineering, data engineering, or distributed systems engineering.
- Minimum 6 years of hands-on experience designing, developing, and troubleshooting Apache Spark-based data processing solutions.
- Minimum 6 years of experience building and supporting large-scale data pipelines processing billions of events or transactions per day.
- Minimum 4 years of experience administering and operating Apache Kafka in production environments.
- Minimum 4 years of experience designing event-driven or streaming data architectures.
- Experience delivering highly available and scalable distributed systems in production environments.
- Experience leading architecture and technical initiatives across multiple engineering teams.
- Experience mentoring engineers and providing technical guidance on large-scale platform development.
Education
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline.Preferred Qualifications
- Experience with Elasticsearch or Apache Solr. Experience with Trino.
- Experience with Apache Airflow.
- Experience with distributed caching technologies.
- Experience implementing Lambda, Kappa, or Kappa++ architectures.
- Experience with Apache Flink and real-time stream processing. Experience with rule-engine platforms.
- Experience deploying and supporting machine learning models in production.
- Experience administering enterprise Big Data platforms and services.
Frequently Asked Questions
Is the salary disclosed for the Staff Big Data Engineer position at qualys?
The salary for this Staff Big Data Engineer role at qualys is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Staff Big Data Engineer position at qualys located?
This Staff Big Data Engineer role at qualys is based in Pune. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Staff Big Data Engineer role at qualys full-time or part-time?
This is listed as a Full time position. It is posted as a Staff Big Data Engineer role in the QLYS_IN Qualys Security TechServices Private Ltd. department at qualys.
Which team or department does the Staff Big Data Engineer at qualys belong to?
This Staff Big Data Engineer position is part of the QLYS_IN Qualys Security TechServices Private Ltd. department at qualys. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Staff Big Data Engineer position at qualys?
Click the "Apply Now" button on this page. You will be redirected to qualys's official application portal hosted on workday where you can submit your application directly.
When was the Staff Big Data Engineer job at qualys posted?
This Staff Big Data Engineer position at qualys was posted on Jul 23, 2026. Apply as soon as possible — early applications are often reviewed first.
Staff Big Data Engineer
qualys
You'll be redirected to qualys's official application page on Workday.