Position: Java Developer Exp- 8 yrs Location- Gurugram Cybercity * Bachelor's degree in computer science or related fields preferred. * 8+ years of experience developing core Java applications across enterprise, SME, or start-up environments. * Proven experience with distributed systems and event-driven architectures. * Expertise in Spring Boot, Spring Framework, and RESTful API development. * Experience in designing, building, and monitoring microservices. * Solid background in persistence technologies including JPA, Hibernate, MS-SQL, and PostgreSQL. * Proficient in Java 11+, including features like Streams, Lambdas, and Functional Programming. * Experience with CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, or AWS DevOps. * Familiarity with major cloud platforms: AWS, Azure, or GCP (AWS preferred). * Front-end development experience using React or Angular with good understanding of leveraging best practices around HTML, CSS3/Tailwind, Responsive designs. * Comfortable in Agile environments with iterative development and regular demos. * Experience with container orchestration using Managed Kubernetes (EKS, AKS, or GKE). * Working knowledge of Domain-Driven Design (DDD) and Backend-for-Frontend (BFF) concepts. * Hands-on experience integrating applications with cloud services. * Familiarity with event-driven technologies (e.g., Kafka, MQ, Event Buses). * Hospitality services domain experience is a plus. * Strong problem-solving skills, with the ability to work independently and in a team. * Proficiency in Agile methodologies and software development best practices. * Skilled in code and query optimization. * Experience with version control systems, particularly git Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: Up to ₹170,000.00 per year Benefits: Flexible schedule Schedule: Day shift Monday to Friday Work Location: In person

Position : Full Stack Data Engineer Locations : Hybrid – Hyderabad, Noida, Bangalore, Indore Experience : 8+ Years Budget : ₹1 Lakh per Month Job Summary We are looking for an experienced Full Stack Data Engineer with a strong background in Big Data technologies, PySpark, and cloud-based data platforms. The ideal candidate will have hands-on experience in building and maintaining scalable data pipelines and integrating various components of the data ecosystem using Azure and Databricks. Key Responsibilities Design, develop, and maintain large-scale data processing systems using PySpark and Databricks . Create and orchestrate data workflows using Azure Data Factory (ADF) . Work with distributed data systems including Hadoop and Big Data platforms. Perform data transformations and aggregations using Hive and other query engines. Develop and maintain efficient, reusable, and reliable data codebases. Optimize data systems for performance and scalability. Collaborate with cross-functional teams including Data Scientists, Analysts, and DevOps. Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: Up to ₹100,000.00 per month Benefits: Flexible schedule Schedule: Day shift Monday to Friday Work Location: In person