Java Developer with Databricks

Job Description: Backend Java Developer with AWS & Databricks Expertise

We are seeking a Backend Java Developer with a strong background in building scalable, reliable, and high-performance applications. The ideal candidate will possess expertise in Java web services (REST/SOAP API development) and have hands-on experience with AWS services, Databricks, and data engineering tools. Familiarity with Scalar, Parquet file formats is must and Python is a plus.

Key Responsibilities

• API Development: Design, develop, and maintain RESTful and SOAP APIs using Java.
• Backend Development: Build, enhance, and maintain backend systems and services, ensuring high performance, scalability, and security.
• Cloud Integration: Work with AWS cloud technologies, specifically S3 for data storage and integration.
• Experience with Databricks and Scalar for data engineering tasks, including building and maintaining data pipelines.
• Data Formats: Work with Parquet file formats for efficient data storage and retrieval.
• Collaboration: Collaborate with front-end developers, data engineers, and business stakeholders to ensure smooth integration of backend systems and data pipelines.
• Code Optimization: Write clean, well-documented code, and optimize backend systems for better performance and reliability.
• Version Control: Use Git for version control, ensuring smooth collaboration across teams.
• Testing: Develop and execute unit and integration tests to ensure the reliability and robustness of API services.
• Support & Troubleshooting: Provide support for production systems, resolve issues, and enhance performance as needed.

Required Skills and Qualifications

• Proven Experience as a Java API Developer, with a strong background in Java web services (REST/SOAP API development).
• Hands-on experience with AWS technologies, specifically S3 for object storage, and other AWS services for cloud infrastructure.
• Experience with Databricks for data engineering tasks, including building and maintaining data pipelines.
• Knowledge of Parquet file formats for efficient data storage and processing.
• Solid understanding of backend development principles, including performance tuning, API security, and cloud architecture.
• Experience with Python is a plus, particularly in data manipulation, automation, or scripting tasks.
• Strong problem-solving skills and the ability to debug and troubleshoot complex systems.
• Experience with version control systems like Git.
• Strong communication skills and the ability to collaborate effectively in a team environment.