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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.
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Proficiency in Scala, Java, or Python for data processing applications.
Proven experience mentoring junior or mid-level engineering team members.
