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* Staff Big Data Engineer
Job Description
We are seeking a Staff Big Data Engineer to define, design, and drive the
evolution of the data platform and pipeline architecture powering Qualys'
Enterprise TruRisk Platform. This role will be responsible for building and
scaling distributed data systems that process billions of events and
transactions daily while providing technical leadership across multiple
engineering teams.
Responsibilities
● Define and drive the technical vision, architecture, and long-term strategy
for the data platform and data pipeline ecosystem.
● Design, build, and maintain highly scalable, high-availability data
processing systems using Apache Spark, Apache Kafka, and distributed data
technologies.
● Lead architecture and design decisions across multiple engineering teams,
ensuring solutions meet requirements for scalability, reliability,
performance, security, and cost efficiency.
● Design and implement event-driven, streaming,
and large-scale data
processing architectures to support real-time and batch workloads.
● Troubleshoot, optimize, and resolve complex performance bottlenecks across
data pipelines, distributed systems, and platform infrastructure.
● Partner with Product Management, Skilled Services, and Sales
Engineering teams to evaluate technical solutions, architecture trade-offs,
and platform capabilities.
● Establish engineering standards, architectural guidelines, documentation
practices, and operational best practices for the data platform.
● Research, evaluate, and recommend emerging technologies that improve
platform scalability, performance, and operational efficiency.
● Mentor and guide engineers on distributed systems design, performance
optimization, and big data technologies.
● Support architecture reviews, technical governance initiatives, and
engineering excellence programs.
Required Qua
📌 Staff Big Data Engineer (Pune)
🏢 Qualys
📍 Pune