Future Opportunities - Data Engineer
CA - Irvine
Note: we invite you to join our talent community. Currently there are no openings for this position, but if you submit your résumé, you will be among the first to hear it when a position opens up.
About Us
Menlo Micro has reinvented one of the most fundamental building blocks of electronic systems – the electronic switch. Menlo Micro’s technology creates a new switch category that eliminates compromises and tradeoffs by combining the benefits of electromechanical and solid-state switches into the best of both worlds with its “Ideal Switch.”
Are you interested in playing a critical, impactful role and work with top electronic systems talent at an exciting startup backed by industry leaders? Do you want to help create truly disruptive and unique products that have the ability to change markets? If you answered yes to both, this may be your opportunity to have a significant impact at a cutting-edge startup with industry-leading technology that will drive electronic systems innovation across a diverse range of industries.
Role Summary and Purpose
The Data Engineer’s role is to provide insight, recommendations, and reports to the operations and product development functions that improve productivity, efficiency, and cost. This role will be instrumental in:
- implementing product and process analytics solutions,
- developing and maintaining dashboards,
- supporting the transition towards cloud infrastructure, and
- creating automated analytics workflows.
Essential Responsibilities
- Collaborate with the Product Engineering, Device Engineering, and Manufacturing Operations teams to develop high-value analytics and workflow solutions that increase efficiency, reduce failures, enhance yield, identify product capabilities and characteristics, detect, and contain issues, model and predict production outcomes, and provide overviews and summaries to guide business decisions.
- Administer enterprise data analytics software for internal customers: creation of report templates and custom scripts, integration of new data sources into existing databases, user training and support.
- Develop, maintain, and improve ETL pipelines for product and process measurements, WIP updates, production flows and dispositions, and process configuration deliverables. Test data infrastructure to ensure reliability and validate analytics solutions to ensure accuracy.
Qualifications and Requirements
- 2 - 3 years’ experience as a Data Analyst, Data Scientist, Data Engineer, or equivalent.
- Ability to effectively communicate analytical process and conclusions clearly to management and engineering team.
- Semiconductor experience in Wafer Fab, Assembly and Test operations is a plus.
- Bachelor of Engineering – Computer Science or equivalent.
Desired Qualifications
- Programming Languages: Python, Java, NodeJS, C#, C++, NoSQL, HTML, CSS
- Database: SQL server, Postgresql, pls/ql, Teradata, MongoDB, NoSQL
- AWS Cloud: Sage Maker, Cloud architect, Cloud formation, Amazon web services (EC2, IAM, ECS, s3, RDS, DynamoDB, Cloud Watch, ELB, VPC, Route53), Lambda, Elastic Beanstalk
- Machine Learning and Data Science: Supervised and Unsupervised Learning algorithms, Reinforcement Learning, Neural Network, CNN, Deep learning, RNN, Map reduce, Parallel processing, Date Preprocessing
- Frameworks and Tools: AWS Services, Microsoft Azure, SQL Server, SK-learn, Keras, TensorFlow, Tableau, Informatica, SSIS, Automation, Bash, PowerShell, Linux scripting, Git
- Microsoft Azure Cloud Other Azure resources include Active Directory and Managed Identities, Key Vault, Virtual Machines, Cosmos DB, Logic Apps, Container Registries, Log Analytics
- SharePoint/OneDrive and Microsoft Graph API
- Revision control
- Testing (unit testing, integration testing, etc.)
- Project management (Agile methodology) and Task management (FreshDesk)
- Pipeline management
- Visualization (BI software, JMP, Excel, plotly, matplotlib)
- Transformation (pandas, JSL, VBA, DAX, R)
Note: we invite you to join our talent community. Currently there are no openings for this position, but if you submit your résumé, you will be among the first to hear it when a position opens up.
About Us
Menlo Micro has reinvented one of the most fundamental building blocks of electronic systems – the electronic switch. Menlo Micro’s technology creates a new switch category that eliminates compromises and tradeoffs by combining the benefits of electromechanical and solid-state switches into the best of both worlds with its “Ideal Switch.”
Are you interested in playing a critical, impactful role and work with top electronic systems talent at an exciting startup backed by industry leaders? Do you want to help create truly disruptive and unique products that have the ability to change markets? If you answered yes to both, this may be your opportunity to have a significant impact at a cutting-edge startup with industry-leading technology that will drive electronic systems innovation across a diverse range of industries.
Role Summary and Purpose
The Data Engineer’s role is to provide insight, recommendations, and reports to the operations and product development functions that improve productivity, efficiency, and cost. This role will be instrumental in:
- implementing product and process analytics solutions,
- developing and maintaining dashboards,
- supporting the transition towards cloud infrastructure, and
- creating automated analytics workflows.
Essential Responsibilities
- Collaborate with the Product Engineering, Device Engineering, and Manufacturing Operations teams to develop high-value analytics and workflow solutions that increase efficiency, reduce failures, enhance yield, identify product capabilities and characteristics, detect, and contain issues, model and predict production outcomes, and provide overviews and summaries to guide business decisions.
- Administer enterprise data analytics software for internal customers: creation of report templates and custom scripts, integration of new data sources into existing databases, user training and support.
- Develop, maintain, and improve ETL pipelines for product and process measurements, WIP updates, production flows and dispositions, and process configuration deliverables. Test data infrastructure to ensure reliability and validate analytics solutions to ensure accuracy.
Qualifications and Requirements
- 2 - 3 years’ experience as a Data Analyst, Data Scientist, Data Engineer, or equivalent.
- Ability to effectively communicate analytical process and conclusions clearly to management and engineering team.
- Semiconductor experience in Wafer Fab, Assembly and Test operations is a plus.
- Bachelor of Engineering – Computer Science or equivalent.
Desired Qualifications
- Programming Languages: Python, Java, NodeJS, C#, C++, NoSQL, HTML, CSS
- Database: SQL server, Postgresql, pls/ql, Teradata, MongoDB, NoSQL
- AWS Cloud: Sage Maker, Cloud architect, Cloud formation, Amazon web services (EC2, IAM, ECS, s3, RDS, DynamoDB, Cloud Watch, ELB, VPC, Route53), Lambda, Elastic Beanstalk
- Machine Learning and Data Science: Supervised and Unsupervised Learning algorithms, Reinforcement Learning, Neural Network, CNN, Deep learning, RNN, Map reduce, Parallel processing, Date Preprocessing
- Frameworks and Tools: AWS Services, Microsoft Azure, SQL Server, SK-learn, Keras, TensorFlow, Tableau, Informatica, SSIS, Automation, Bash, PowerShell, Linux scripting, Git
- Microsoft Azure Cloud Other Azure resources include Active Directory and Managed Identities, Key Vault, Virtual Machines, Cosmos DB, Logic Apps, Container Registries, Log Analytics
- SharePoint/OneDrive and Microsoft Graph API
- Revision control
- Testing (unit testing, integration testing, etc.)
- Project management (Agile methodology) and Task management (FreshDesk)
- Pipeline management
- Visualization (BI software, JMP, Excel, plotly, matplotlib)
- Transformation (pandas, JSL, VBA, DAX, R)
