Staff Data Engineer

• Staff Data Engineer (7-10 years, Java, Spring, Hadoop, Spark, Kafka)

• Strong foundation in the analysis, design, development, and implementation of various initiatives, with end-to-end ownership to deliver the business functionalities.

• Design, develop and maintain mission-critical systems, delivering high-availability and performance.

• Develop high quality code, participate in code reviews, and mentor junior developers to ensure the deliveries on time.

• Have a passion for delivering zero defect code and be responsible for ensuring the teams deliverables meet or exceed the prescribed defect SLA.

• Coordinate and participate in Continuous Integration activities, automation frameworks for testing and deployments etc. in addition to contributing to core product code.

• Effectively communicate status, issues, and risks in a precise and timely manner.

• Work on development of new products iteratively by building quick POCs and converting ideas into real products.

• Capability to work in UI stack using advance Java Script frameworks like AngularJS, Backbone etc is preferable.

• Experience developing back-end applications including multi-process and multi-threaded architectures.

• Experience in writing quality and self-validating code using unit tests, or following TDD.

• Capable to leverage DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Chef, Git and Docker.

• Experience in Agile development using any of the methodologies like SCRUM is a big plus.

• Product development experience is must.

Basic Qualifications :
5+ years of relevant work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work