Java Fullstack developer with Hadoop Ecosystems
Logicplanet, Inc.
- Job
- 28502
- Posted
- Location
- New York, NY
- Work type
- Contract
- Tax terms
- W2, C2C, 1099
- Experience
- Experience open
- Openings
- 1 opening
Opens your email app with a message to the employer, its subject naming this job. Attach your resume and send it from your own email.
Skills
- Java
- Spring Boot
- Kafka
- Microservices
- SQL
- PostgreSQL
- Oracle
- MongoDB
- Spark
- Hadoop
- Hive
- Snowflake
About the job
Role: Java Fullstack developer with Hadoop Ecosystems
Location: New York,NY
Type : C2C
seeking a highly experienced Senior Java Full Stack Developer with deep expertise in enterprise
grade application development, distributed systems, and modern data streaming platforms. The ideal candidate
brings strong architectural thinking, hands-on coding capability, and the ability to design scalable, resilient solutions
in a complex financial ecosystem.
Key Responsibilities
- Lead end-to-end design and development of enterprise applications using Java, Spring Boot, and
Microservices architecture.
- Build and optimize Kafka-based streaming pipelines for real-time data processing.
- Design scalable data models and integrate with SQL and NoSQL databases.
- Work with Snowflake for data warehousing and analytical workloads (good to have).
- Contribute to Hadoop-based big data processing frameworks.
- Collaborate with cross-functional teams to define architecture, design patterns, and best practices.
- Utilize GitHub Copilot and AI-assisted development tools to accelerate delivery.
- Participate in code reviews, performance tuning, and production support.
- Work in an Agile environment and contribute to continuous integration and deployment pipelines.
- Engage with business stakeholders to translate requirements into technical solutions.
Required Skills & Experience
- 15+ years of hands-on experience in enterprise software development.
- Strong expertise in:
o Java / Java Full Stack Development
o Spring Boot, Microservices
o Apache Kafka (streaming, producers/consumers, schema registry)
o SQL & NoSQL databases (Oracle, PostgreSQL, MongoDB, etc.)
- Solid understanding of system design, architecture, and distributed systems.
- Experience with Hadoop ecosystem (HDFS, Hive, Spark preferred).
- Strong knowledge of GitHub, GitHub Copilot, and AI-driven development workflows.
- Excellent problem-solving skills and ability to work in a fast-paced financial environment.
Good to Have
- Cloud experience (AWS or Azure) - deployment, containerization, managed services.
- Experience with Snowflake for data warehousing.
- Exposure to financial services or capital markets.
Soft Skills
- Strong communication and stakeholder management.
- Ability to work independently and mentor junior developers.
- High accountability and ownership mindset.