Summarize the job description below to 20% of its size.

Job description: 
NAME_1 is looking for a software engineer to build the software infrastructure responsible for collecting and storing data generated within the Formation process during cell manufacturing. In this role, you will develop the applications and data pipelines which manage cells through the formation process, collect and store data from millions of cells, and calculate metrics from the raw data to be used for determining cell quality/performance. In particular, you will be responsible for building data pipelines which move data from equipment sources to their final data stores for further processing and storage. The formation process is a high-data volume environment and in this role, you will be part of a team building the systems required to collect and analyze data in real time to deliver cell metrics that ensure quality and performance limits are measured and enforced for cells leaving the factory.

What You’ll Do
Develop critical high-volume data pipelines to collect and store formation data in a robust, observable, and performant manner
Drive system observability efforts (OpenTelemetry) by continuing to instrument existing data pipelines, supporting the instrumentation of other systems across the formation software team, and developing a centralized and standardized system health dashboard (Grafana)
Work closely with the equipment, firmware, and process development teams to facilitate data driven decision making through tools which make data accessible and analyses reproducible
Contribute to software testing and continuous deployment processes

What You’ll Bring
B.S. degree or higher with 2+ years of software, data analysis, or relevant experience in chemical engineering, electrical engineering, computer science, physics, statistics, or equivalent quantitative discipline. Senior roles available for more experienced candidates
Demonstrated experience with building and deploying data pipelines (e.g., NAME_2), REST APIs (e.g., go-chi, FastAPI), and databases (e.g., data modeling)
Experience with Git or other source control software
Effective communication and organizational skills to translate manufacturing questions into data/software requirements
Experience with NAME_3 and continuous integration and deployment tools (e.g., Docker, GitHub Actions, Kubernetes) preferred
Experience with electrochemistry or high-volume manufacturing preferred