Senior Big Data Engineer Job in Qualys, Inc.

Description

We are seeking a talented Senior Big Data Engineer to help build next generation Security Analytics product from ground-up.

Working with a team of engineers and architects, you will be responsible for prototyping, designing, developing and supporting a highly scalable SaaS based Security Analytics product.

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 100 million transactions and terabytes of data per day, leverage open source technologies, and work on challenging and business-impacting projects.

Responsibilities:

• You will be Designing and developing NextGen Security Analytics Product in the cloud from ground-up.
• Produce high quality software following good architecture and design principles that you and your team will find easy to work with in the future.
• Working with big data technologies KAFKA, SPARK, Elastic Search , HDFS, IMPALA / HIVE / SPARK SQL / Scala.
• Design, develop, maintain products to build large scale tera bytes of indexes while giving fast searching in Java.
• Researching and implementing for code design, adoption of new technologies and skills.
• You'll create high-performance Restful APIs to be consumed by external partners.
• You will be building highly scalable Micro-services that interacts with Qualys Cloud Platform

Qualifications:

• Bachelors/Masters/Doctorate in Computer Science or equivalent
• 7+ years of JAVA development experience with Microservices architecture.
• 5+ years of experience with Hadoop Ecosystem.

• 2+ years of experience in Spark.
• 2+ years of experience in Lucene / Elastic Search.
• Should have knowledge of working on HDFS, Hive, Yarn and Spark
• Should have knowledge of Schema registry

• Strong logical skills for code design and implementation.
• Writing high-performance, reliable and maintainable code.
• Experience in designing, developing and delivering scalable solutions.
• Good knowledge of SQL, advanced data structures, design patterns, object-oriented principles.
• Experience with API, SDKs and third-party integration.
• Should be well versed with Java 7 / 8 and Scala.
• Solid understanding of RDBMSpreferably Oracle.

Good to have:

• Knowledge of Kubernetes and docker.