Staff Full Stack Developer

Your Job

Molex possesses a rich heritage in the optical industry.

We provide the highest performing and field-proven wavelength management solutions from components, modules to integrated line-cards.

Our team is dedicated to continuous innovation in passive component function integration, miniaturization, and manufacturing automation.

We provide cutting edge technology with a comprehensive optical, mechanical, electrical and software integration capabilities enable us to serve the needs of high-density, high-bandwidth, and flexible optical networks.

We serve large, global clients in telecom and datacom industries in providing next generation optical modules to support the growing need for data and communications.

We are looking for a Staff Full Stack Developer to democratize manufacturing data to our technical staff.

What You Will Do


* Own the end-to-end full stack system design and development of a scalable and secure architecture to maintain robust data pipelines to collect, process, and store large volumes of structured and unstructured data.


* Collaborate with multiple departments to gather requirements to deliver a scalable and robust solution.


* Implement UI/UX design methods and principles.


* Creating, architecting and maintaining appropriate databases and schemas to support complex big data models and transactions.


* Design and implement complex web-based data extraction and analytics applications.


* Ensure data integrity and compliance, document data processes, systems, and interactions.


* Assess and optimize data jobs on cost, scalability, and performance in both local and cloud environments.


* Implement modular design principles in backend and frontend applications to create a maintainable code base.


* Implement secure authorization using OAuth, JWT, and third-party identity providers to manage sessions and ensure secure access to resources.

Who You Are (Basic Qualifications)


* Bachelor's Degree or Higher in Computer Science or applicable engineering discipline


* 5+ years of data engineering, data analyst, analytics engineering or similar experience


* Familiar with data pipeline and ELT development frameworks with the ability to maintain and develop data pipelines in a large-scale manufacturing environment.


* Experience with unstructured, structured, and streaming data


* Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy


* Create interactive and visually appealing dashboards and reports to present insights effectively


* Perform data analysis to identify trends, patterns, and anomalies


* Optimize and fine-tune predictive models for accuracy and performance

What Will Put You Ahead


* Experience with AWS services such as Redshift, RDS, S3, ECS, EC2, DMS, Lambdas, Elastic Beanstalk.


* Experience with distributed file systems (DFS)...