Java Developer

Experience in Java

Experience in spring Boot

Experience in microservices

experience in Project management

Experience in leading team

Experience in customer facing

Experience in Product Management

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

Pre-requisites for the Role

1.Job ID-EMJR0120PS

1. Primary skill:

• Java-spring boot-Hibernate
• Mysql
• CI/CD, Jenkins/Github (good to have)
• Junit/Mockito/testng
• Rest api

(Good to have)

Awards received in career

4.Years of Experience: 3-5 Years

1. Location:(Hybrid)
2. Position-19
3. Budget- Max 14 LPA
4. NP- Immediate

Roles and Responsibilities:
 

Mandatory Skills: 

•  Teamcenter Customization related to ITK, RAC, Active Workspace 
• Strong in programming skills like C, C++, Java & OOPS concepts 
• BMIDE Codeful and codeless customization 
• Teamcenter SOA development 
• TC Configuration e.g., Preferences, ACL, Style sheets etc. 
• Good exposure to Teamcenter data model, Architecture, BMIDE etc., 

What we are looking for: 

• Strong in programming skills like C, C++, Java & OOPS concepts 
• Should have strong knowledge in ITK and should be able to write Handlers, Extension, Scripts and programs 
• Should have good knowledge in RAC, Active workspace customization 
• Should have good knowledge in Workflows, BMIDE, Preferences, Stylesheets, Access Rules, Query Builder, Project etc 
• Should have strong technical capabilities and functional knowledge in multiple PLM Modules. 
• Should have very good understanding of Teamcenter Data Model 

Experience:

The candidate should have about 5+ years of experience with design and development in Java/Scala. Experience in algorithm, data-structure, database and architectures of distributed System is mandatory.

Required Skills:

1. In-depth knowledge of Hadoop, Spark architecture and its components such as HDFS, YARN and executor, cores and memory param
2. Knowledge of Scala and Java both
3. Extensive experience in developing spark job. Should possess good Oops knowledge and be aware of enterprise application design patterns.
4. Good knowledge of Unix/Linux.
5. Experience working on large-scale software projects
6. Understanding the big picture and the various uses cases involved while crafting the solution and documenting them in Unified Modeling language.
7. Own and maintain the architecture document.
8. Keep an eye out for technological trends, open-source projects that can be used.
9. Knows common programming languages and Frameworks.
10. Real time streaming data consumption

Good to have :

1. Azure/AWS Cloud Knowledge of Data Storage and Compute side
2. Knowledge Multitenant Architecture
3. Brief idea of Data Science
   
   

• Own and drive business features into tech requirements
• Design & develop large scale real time server side systems
• Quickly create quality prototypes
• Staying updated on emerging technologies
• Ensuring that all deliverables adhere to our world class standards
• Promote coding best practices
• Mentor and develop junior developers in the team

• 4+ years of relevant experience as described below
• Excellent grasp of Core Java, Multi Threading and OO design patterns 
• Experience with Scala, functional, reactive programming and Akka/Play is a plus
• Excellent understanding of data structures and algorithms
• Solid grasp of large scale distributed real time systems

• Prior experience on building a scalable and resilient micro service

• Solid understanding of relational databases, NoSQL databases and Caching systems
• Good understanding of Big Data technologies such as Spark, Hadoop is a plus
• Experience on one of AWS, Azure or GCP 

• You have excellent and effective communication and collaborative skills
• You love problem solving
• You stay up to date with the latest technologies and then apply them in real life
• You love paying attention to detail
• You thrive in meeting tight deadlines and prioritising workloads
• Ability to collaborate across multiple functions

Bachelor’s degree in Engineering or equivalent experience within the field

Preferred Skills: 

We want to really emphasize Spring Boot (2+ years although 1+ if candidate particularly strong) Using Redis as a caching technology with Spring Boot would be a strong plus 

Using Redisson (a particular java client library that can be easily configured with Spring Boot) would be a strong plus 

Knowledge of event based messaging systems (Amazon SNS, Amazon MQ, or Kafka (in AWS) Data Cleaning tools and techniques in CSV and Excel 

Strong Knowledge of Spring Boot Dependency Injection and Configuration 

Experience with APIs for popular e-commerce platforms (Magento, Shopify, Big Commerce, etc.) 

SDLC (Software Development Lifecycle) Tools in the context of AWS. (Tools classified under DevOps) 

Experience with managing AWS EC2 VM instances and using AWS managed Services (like S3, MySQL, VPC/Networking, Lambda, etc) 

Performance Analysis Tools (Code Profiling) on Java VM and particularly Spring Boot 

Nice to Have: 

Experience with Cassandra or MongoDB with Spring Boot 

Horizontal Scaling with Spring Boot (considerations running multiple instances of Spring Boot instances) 

Experience with placing Spring Boot applications in Docker/Kubernetes container ecosystems (especially in AWS)