Java Full Stack Engineer

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• Profile Submission:  Submit the candidate's profile to the recruiter and ensure to CC the respective lead and the Profile Submissions DL.

• Resume Upload:  Upload the candidate's resume in the ORC system and Tag to the respective roles.

Follow-Up Requests:

•  The lead will handle any follow-up requests.

•  Avoid any offline communication with the recruiters.

Thank you for your understanding and support.

Role: Java Developer 

Location: Mclean, VA (Within 20 miles)

Salary / Rate : $115k / $73/hr on C2C 

Key Skills : Java, Sprinbgboot, AWS , Mongo DB , Angular.

POC: Sumit 

Job Description:
Position Overview:
We are seeking a highly skilled Java Developer with strong expertise in data-driven applications.
The ideal candidate will have in-depth knowledge and experience working with Event bases systems like Apache Kafka / other streaming platforms
NoSQL databases, particularly MongoDB, and a solid understanding of AWS services
Experience with distributed systems and tools such as Kafka and Spark and knowledge of GraphQL is a plus.

Mandatory Skills:-
At least 8 years of Java with Spring boot experience.
Should be proficient in Event based systems like Apache Kafka / other streaming platforms.
AWS services( Key being EMR, EKS, Lamda, S3 , AWS logging and monitoring etc.)
NoSQL (Mongo DB) and SQL experience.
Knowledge of Flyway is preferred.
Knowledge of GraphQL is preferred.

If candidate is strong in Backend Skills & No SQL (Mongo) Angular is not mandatory 

Key Responsibilities:
Design, develop, and maintain scalable and high-performance Java-based applications with a focus on data-intensive processes.
Work with Event-based systems, such as Apache Kafka or other streaming platforms for real-time data processing.
Work with Flyway to automate database schema changes.
Work extensively with MongoDB and other NoSQL databases to manage and optimize data storage and retrieval.
Collaborate with cross-functional teams to architect solutions leveraging AWS services such as S3, Lambda, EC2, RDS, etc.
Optimize application performance and ensure data integrity across distributed systems.
Write clean, maintainable, and well-documented code following best practices.
Troubleshoot and resolve issues in production environments.
Stay updated with emerging technologies and trends in data engineering and cloud computing.