This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines.

You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of media exposure records while preserving privacy.

If you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do
Be part of an engineering team that focuses on Big Data analytical platforms and tools
Design and implement highly reliable and scalable Spark applications that efficiently process big data
Collaborate with data scientists on the design and implementation of ML data pipelines
Integrate with relational databases, MongoDB, and AWS services (e.g. EMR, S3, SQS)
Work in an agile team to improve the development life cycle, development practices, and testing facilities

Crossix Data Platform is a framework which connects huge patient healthcare data from multiple sources in a privacy safe method on a daily basis to maintain a current view of the US healthcare market. The result enables two core businesses within our company: Crossix Analytics which is dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions; And Compass, which enables clients to study and analyze deidentified healthcare data for various needs. Both businesses are positioned at the center of big data, innovative technology and provide most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.

As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create system and feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data