Sr. Data Analytics Engineer

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 Senior Data Analytics Engineer to democratize manufacturing data to our technical staff.

What You Will Do


* Design, develop and maintain robust data pipelines to collect, process, and store large volumes of structured and unstructured data


* Design and implement complex data models and data analytics applications


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


* Assess and optimize data jobs on cost, scalability, and performance


* Assist in other duties and projects as assigned

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


* S trong proficiency in SQL and Python


* Familiar with data pipeline and ELT development frameworks


* Familiarity with various log formats such as JSON, XML, and others


* 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 (e.g.

Redshift, S3, ECS, EC2, DMS, Lambdas)


* Experience with distributed file systems (Hadoop)


* Knowledge of real-time data streaming and batch processing frameworks


* Maintain and develop data pipelines in a large-scale manufacturing environment


* Experience in an Operations setting; performing deep analytics in a high-volume manufacturing area


* Experience with orchestration tools (Apache Airflow or Dagster)

For this role, we anticipate paying $120,000 - $160,000 per year.

This role is eligible for variable pay, issued as a monetary bonus or in another form.

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