Lead Java Engineer

Role: Lead Java Engineer

Location: Boston, MA (onsite 2-3 days a week)

Duration: 12 Months Contract

Experience: 10 Years

Must have

• Core Java framework building microservices
• Data pipeline in Spark/Pyspark
• Data lake
• Must be able to generate use cases
• Azure and AWS
• Code Framework Java reflections
• Lead exp
  
  

Job Details

Senior Java Developer to join our team and contribute to building a scalable platform that will enable predictive analytics. The ideal candidate will have deep expertise in Java frameworks, microservices, and data pipelines, with experience working in a cloud-based environment using Azure and AWS. The role requires a platform-focused mindset, strong problem-solving skills, and the ability to generate use cases that align with business needs.

Key Responsibilities

• Design and develop microservices using Core Java frameworks.
• Build and enhance a scalable framework to support predictive analytics.
• Develop and maintain data pipelines in Spark and PySpark.
• Work with Iceberg Datalake to manage large-scale data processing and storage.
• Generate and define use cases to drive platform development and business value.
• Leverage cloud infrastructure on Azure and AWS to build and deploy scalable solutions.
• Utilize Java reflections to design dynamic and adaptable code frameworks.
• Collaborate with cross-functional teams to ensure alignment of business and technical requirements.
• Provide mentorship and technical guidance to the offshore development team in Brazil.
  
  

Required Qualifications

• 10 years of experience in software development with a strong focus on Java and microservices architecture.
• Proven experience in building scalable platforms and frameworks.
• Expertise in working with Spark/PySpark and data pipeline development.
• Experience with data lakehouse formats such as Apache Hudi, Apache Iceberg, or Delta Lake is a plus.
• Strong experience with cloud platforms, including Azure and AWS.
• Proficiency in Java reflections for building dynamic frameworks.
• Experience with Agile development methodologies and DevOps practices.
• Excellent communication and leadership skills, with the ability to mentor junior developers.
  
  

Preferred Qualifications

• Experience working with offshore teams.
• Strong analytical and problem-solving skills.
• Familiarity with containerization tools such as Docker and Kubernetes.
• This is an exciting opportunity to join a dynamic team and play a key role in building a cutting-edge predictive analytics platform.
  
  

Skills: kubernetes,devops,java,building,cloud,java frameworks,spark,azure,java reflections,aws,core java,microservices,pyspark,docker,data pipeline development,agile methodologies