At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity's Manufacturing Engineering Teams are process leaders for stamping, molding or assembly related topics, ensuring the processes are running at optimum levels for quality and output. They are experts in mold tooling, die tooling, machining, and assembly techniques, possessing extensive knowledge of the associated manufacturing processes which may include the optimization and standardization of stamping / molding / assembly or other processes within the manufacturing environment. Manufacturing Engineering Teams enable the TE business unit plants to reach TE Operating Advantage (TEOA) requirements, roll out Centers of Excellence (COE), Best Demonstrated Practices (BDP’s) and advise plants on tool and machine duplications / corrections / improvements. They design and develop manufacturing process and automation platforms and apply them for the realization of new product developments as well as optimization of existing products already in production. The Teams also support Product Development in the selection and optimization of tools for piece part production and the selection of the most suitable manufacturing concepts relative to planned manufacturing quantities, quality requirements and manufacturing location. They act as interface between engineering and production to ensure manufacturability of new designs and smooth production ramp up as well as support the research & development teams to produce sample manufacturing equipment, product samples and prototypes.Long Description Database Management: Familiarity with database systems (e.g., MySQL, PostgreSQL, MongoDB) and ability to design and optimize database queries. Strong programming skill in Python, SQL, PostgreSQL, MongoDB, HTML, JavaScript, React, Angular, FastAPI, RESTAPI or similar languages Proficiency with GIT version control systems  Experience with component selection, schematic review, testing and validation of firmware.    Strong analytical capabilities to interpret lab data to identify issues and provide solutions to fix identified problem.  Subject matter expert in embedded firmware design, testing and validation activities through product development cycles  Establishing software design performance/functional requirements for new products  Experience with LabVIEW, Programming Rules and communication protocols. What your background should look like:

Software Knowledge:

Python,  Tensorflow/Keras. PyTorch.  SQL (MySQL).  Spark/ PySpark  DVCS git: Github.  R: RStudio  Power BI.  Orange: Data Mining  Jupyter / JupyterLab.  Microsoft Office Minitab C++ Csharp Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork