Siemens Careers

Full-Stack / Big Data Developer - Advanced

Cypress, California
Research & Development

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English (US)

Job Description

Division: Digital Factory
Business Unit: Product Lifecycle Management-PLM
Requisition Number: 237235
Primary Location: United States-California-Cypress
Assignment Category: Full-time regular
Experience Level: Senior level
Education Required Level: Bachelor's Degree
Travel Required: 5%

Division Description:

Siemens Digital Factory offers a comprehensive portfolio of seamlessly-integrated hardware software and technology-based services in order to support manufacturing companies worldwide. Siemens PLM Software, a Plano, Texas-based business unit of the Digital Factory Division, is a leading global provider of product lifecycle management (PLM) and manufacturing operations management (MOM) software, systems and services with over nine million licensed seats and more than 77,000 customers worldwide.
 
For more information, please visit: 

https://www.siemens.com/us/en/home/company/about/businesses/digital-factory.html



Job Description:

 

Full Stack Big Data Software Engineer    
 
Position Overview  
 
Interested in engineering problems concerning Big Data and Software Analytics? As a Software Engineer in the Business Intelligence Team, you’ll use your software design, analysis and programming skills to create highly scalable big data systems that directly impact Siemens products all over the world! You’ll have the opportunity to be involved in everything, from performance optimization, architecture, software design/engineering and testing, all the way up to web interface design. The goal is to automate the processing and analysis of the massive amounts of telemetry data that Siemens products produce. We are very customer focused, so you will be required to communicate with various managers and stakeholders, to understand their requirements and translate that into a working system.  We provide a flexible and friendly working environment with a fun team!
 
Responsibilities  
  • Design, Implement, test, deploy, maintain, and improve software
  • Manage individual project priorities, deadlines, and deliverables
  • Help to influence and shape the team’s culture and process
  • Collaborate with managers, product architects, owners and key stakeholders to understand customer requirements
  • Apply innovative thinking and problem solving 
Required Knowledge/Skills, Education, and Experience 
  • A minimum Bachelor’s Degree in Computer Science or Engineering or equivalent
  • Experience writing algorithms, designing data structures, application of object oriented methods
  • A minimum of 3 years programming experience in Java
  • A minimum of 2 years developing on an DBMS such as PostgreSQL, MySQL, Oracle, MSSQL, MongoDB, DynamoDB
  • Experience in building scalable microservice-based architecture
  • Experience in database design, development and data modeling
  • Ability to identify problems, and effectively communicate solutions to a team
  • Experience working within an agile software development environment
  • Able to work well in a team environment
  • Self-Directed, High Energy 
Preferred Knowledge/Skills, Education, and Experience 
  • Exposure to AWS services such as EMR, Glue, Lambda, Step Functions, Aurora, DynamoDB, Athena, ECS
  • Experience with Containers and container management: ECS, Kubernetes
  • Experience in Machine Learning and AI
  • Experience with large data sets
  • Familiarity with Monitoring and logging solutions: DataDog, Zabbix, Splunk, New Relic, ELK stacks
  • Experience in frontend development: React, Angular, Vue.js  
  • Experience with Analytics and Data visualization tools: Tableau, QuickSight, Looker, etc.
  • Programming experience in scripting languages is a plus
  • Knowledge of SDLC, CI/CD tools: JIRA, GitLab, Jenkins, etc.

#LI-PLM

Learn more about Siemens PLM Software by  watching this video!



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Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

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