Java Fullstack Developer
2 weeks ago
Job Summary:
We are seeking highly skilled Java Full Stack Engineers to join our dynamic engineering team. The ideal candidate will have strong hands-on experience in backend and frontend development using Java, Python, and SQL , and should be comfortable working across cloud environments (Azure and GCP) . You will be responsible for designing, developing, and deploying scalable, data-driven applications that integrate with modern cloud and data platforms.
Key Responsibilities:
Design, develop, and maintain end-to-end full stack applications using Java (Spring Boot) and Python .
Build robust backend APIs and integrate with front-end systems and data pipelines.
Develop and optimize data integration workflows using Azure Data Factory , GCP DataFlow , and GCP Composer .
Work with databases such as GCP BigQuery , Azure SQL , MongoDB , and Databricks for data storage, transformation, and analytics.
Collaborate with product managers, data engineers, and analysts to deliver efficient and scalable software solutions.
Participate in code reviews , performance tuning , and continuous integration/deployment (CI/CD) processes.
Troubleshoot production issues and drive root-cause analysis and resolution.
(Optional) Work with Power BI or similar BI tools to support data visualization and reporting needs.
Required Skills & Qualifications:
Bachelor's degree in Computer Science , Information Technology , or related field.
5+ years of experience in Java development with strong understanding of Spring Boot framework.
Hands-on experience with Python and SQL for data manipulation and backend logic.
Practical experience with cloud technologies — especially Azure (Azure Data Factory, Azure SQL) and Google Cloud Platform (GCP) (DataFlow, Composer, BigQuery).
Solid understanding of databases (relational and NoSQL) such as MongoDB , Azure SQL , and BigQuery .
Familiarity with data engineering tools like Databricks for data processing.
Working knowledge of front-end integration , RESTful APIs , and microservices architecture .
Understanding of DevOps practices and CI/CD pipelines .
Excellent problem-solving, communication, and teamwork skills.
Good to Have:
Experience with Power BI or other BI tools for reporting and visualization.
Exposure to containerization technologies like Docker and Kubernetes .
Experience with Agile/Scrum methodologies.
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