Senior Software Engineer - Big Data

ZS's Platform Development team designs, implements, tests, and supports ZS's ZAIDYN Platform which helps drive superior customer experiences and revenue outcomes through integrated products & analytics. Whether writing distributed optimization algorithms or advanced mapping and visualization interfaces, you will have an opportunity to solve challenging problems, make an immediate impact, and contribute to bringing better health outcomes.

What you'll do

• Pair program, write unit tests, lead code reviews, and collaborate with QA analysts to ensure you develop the highest quality multi-tenant software that can be productized.
• As part of our full-stack product engineering team, you will build multi-tenant cloud-based software products/platforms and internal assets that leverage cutting-edge technology based on the Amazon AWS cloud platform.
• Work with junior developers to implement large features that are on the cutting edge of Big Data.
• Be a technical leader to your team, and help them improve their technical skills.
• Stand up for engineering practices that ensure quality productsautomated testing, unit testing, agile development, continuous integration, code reviews, and technical design.
• Work with product managers and architects to design product architecture and to work on POCs.
• Take immediate responsibility for project deliverables.
• Understand client business issues and design features that meet client needs.
• Undergo on-the-job and formal trainings and certifications, and constantly advance your knowledge and problem-solving skills.

What you'll bring

• Bachelor's Degree in CS, IT, or related discipline.
• Strong analytic, problem-solving, and programming ability.
• Experience in coding in an object-oriented language such as Python, Java, C#, etc.
• Hands-on experience on Apache Spark, EMR, Hadoop, HDFS, or other big data technologies.
• Experience with development on the AWS (Amazon Web Services) platform is preferable.
• Experience in Linux shell or PowerShell scripting is preferable.
• Experience in HTML5, JavaScript, and JavaScript libraries is preferable.
• Understanding of Data Science Algorithms.
• Good to have Pharma domain understanding.
• Initiative and drive to contribute.
• Excellent organizational and task management skills.
• Strong communication skills.
• Ability to work in global cross-office teams.
• ZS is a global firm; fluency in English is required.