Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
This is a great opportunity to be an integral part of a team building Qualys next generation Micro-Services based technology platform processing over a Billion transactions and terabytes of data per day, leverage open source technologies, and work on challenging and business-impacting projects.
Responsibilities:
As a Lead Big Data Engineer, you will be responsible for developing a cutting-edge, scalable application which is being used by millions of customers worldwide. This position offers you an opportunity to work with world-class engineers and build resilient features to support next generation of Asset Management product in the cloud. The work involves complete ownership from a delivery perspective, including design, architecture, development, operations, and end-to-end support/maintenance of our systems. You will become the face of the team from a feature standpoint on all technical aspects. You will be responsible for guiding and mentoring other talented engineers on your team on highly complex projects and responsible for hiring new engineers/interns.
Requirements:
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Excellent programming and designing skills with 8+ years of hands-on experience in Java back-end development and skills with Spring-boot framework.
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Should be able to independently design moderate to a complex modules with solid code quality
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Understand data structures and algorithms
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Innovative thinker and adept at building high-performance application
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Messaging middleware using Kafka .
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Strong Java programming skills including object-oriented design, prototyping, development, testing, profiling, etc.
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Knowledge of Docker, Kubernetes, Jenkins, and related CI/CD tools
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Ability and skill to debug & solve complex issues in a high-performing environment
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5+ years of relevant experience in design and architecture Big Data solutions using Spark
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3+ years experience in working with engineering resources for innovation.
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5+ years experience in understanding Big Data events flow pipeline.
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In depth experience in Data lakes and related ecosystems.
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In depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments.
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Knowledge in Presto technology.
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Knowledge in Airflow.
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In depth understanding of RDBMS/NoSQL, Oracle , Cassandra , Kafka , Redis, Hadoop, lambda architecture, kappa , kappa ++ architectures with flink data streaming and rule engines
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Experience in working with ML models engineering and related deployment.
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Design and implement secure big data clusters to meet many compliances and regulatory requirements.
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Experience in leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack.
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Strong experience in doing performance benchmarking testing for Big data technologies.
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AI native engineer with big data engineering development skills
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Strong troubleshooting skills.
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Experience leading development life cycle process and best practices
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Experience mentoring/training the engineering community on complex technical issue.
Must-Have: Trino SQL Engine Expertise
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Strong hands-on experience with Trino (formerly PrestoSQL) for distributed SQL analytics.
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Ability to design and optimize Trino-based query architectures across large-scale data lakes.
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Expertise in Trino performance tuning and workload optimization.
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Experience integrating Trino with Hive/Iceberg/Parquet-based lakehouse ecosystems is highly preferred.
Desired Qualifications
Bachelor / Master's degree in Computer Science Engineering (M.E / M.Tech, B.E / B.Tech) and 8+ years of previous experience in the job offered, or as a Lead Big Data Engineer, or a similar related role
