Responsibilities ● Design, develop, and implement high-quality Java applications. ● Collaborate with cross-functional teams to define, design, and ship new features. ● Write well-designed, efficient, and testable code. ● Spring Boot and Microservices: Extensive experience with Spring Boot for building microservices. ● Design, develop, and deploy scalable and resilient microservices architecture. ● Implement best practices for microservices communication, fault tolerance, and security. ● Restful APIs: Design and implement RESTful APIs to facilitate seamless data exchange between systems. ● Ensure API performance, scalability, and security. ● Database Integration: Proficient in integrating Java applications with various databases, including but not limited to MySQL, PostgreSQL, or MongoDB. ● Unit Testing: Implement and maintain comprehensive unit tests to ensure the robustness, including edge cases and usability, of the code. ● Utilize testing frameworks such as JUnit for effective unit testing. ● Code Quality and Review: Conduct code reviews to ensure code quality, adherence to coding standards, and best practices. ● Identify and rectify code issues, bugs, and bottlenecks. ● Collaboration and Communication: Collaborate with cross-functional teams including product owners, designers, and other developers to deliver high-quality software solutions. ● Communicate effectively with team members and stakeholders. ● Continuous Integration/Continuous Deployment (CI/CD):Implement and maintain CI/CD pipelines for automated testing and deployment. ● Troubleshooting and Debugging: Identify and resolve software defects and issues in a timely manner. ● Perform root cause analysis for complex issues. ● Documentation: Create and maintain technical documentation for code, APIs, and system architecture. What are we looking for? ● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. ● 5-8 years of hands-on experience in Java development and Linux ● Strong proficiency in Spring Boot and microservices architecture. ● Expertise in designing and developing Restful APIs. ● Experience with unit testing frameworks, preferably JUnit. ● Solid understanding of database integration and SQL. ● Familiarity with Agile development methodologies. ● Excellent problem-solving skills and attention to detail. ● Strong communication and collaboration skills. ● Experience with CI/CD tools and practices is a plus. Show more Show less
We are looking for a highly skilled Dialogflow CX Developer to design, develop, and deploy intelligent conversational agents using Google Cloud technologies. The ideal candidate will have strong expertise in Python, GCP services, and Dialogflow CX configuration, along with a solid understanding of machine learning and cloud deployment practices. Responsibilities • Design and implement conversational workflows using Dialogflow CX • Develop and deploy backend services using Python (Flask, Pandas, Containers) • Build and manage applications using GCP services like Cloud Run, Cloud Functions, and Cloud Scheduler • Integrate conversational agents with external systems and APIs • Implement and manage data pipelines using Big Query • Work with CI/CD pipelines to streamline development and deployment • Apply prompting techniques for NLP and AI-driven conversations • Follow software design patterns to write scalable and maintainable code • Collaborate with data scientists, product managers, and cloud architects Qualifications Strong hands-on experience with: Google Cloud Platform (GCP) – Cloud Run, Cloud Functions, Cloud Scheduler Python – Flask, Pandas, Containers, Intermediate-level coding Dialogflow CX – Configuration and conversation design Good understanding of: Machine Learning concepts Big Query for data analysis CI/CD tools and workflows Prompting techniques for conversational models Design patterns for backend and AI applications
Responsibilities Implement and manage data governance/data quality frameworks and processes. Conduct data quality and data product testing to ensure accuracy and reliability. Explore and Analyze data, identify data quality rules, document data dictionaries and business glossaries. Collaborate with stakeholders to understand data requirements and deliver data solutions. Write and optimize complex SQL/HQL queries for data extraction and analysis. Develop shell scripts and analytics dashboards. Work with Hadoop, Hive, HQL, EDW, and Master Data to manage and analyze large datasets. Communicate effectively with technical and business stakeholders to facilitate data-related projects. Should be able to work with minimal guidance, need to plan the deliverables and able to meet timelines. Qualifications Experience: Overall 9+ years of IT experience; 7+ years in data governance and data quality management, implementing frameworks, should be good in data governance consulting. Data Quality and Testing: Proven experience in data quality and data product testing. Data Governance Implementation: Strong background in implementing data governance frameworks. Data Projects: Excellent understanding and experience with data- focused projects. SQL Proficiency: Ability to write complex SQL queries. Technical Knowledge: Good understanding of Hadoop, Hive, HQL, EDW, and Master Data. Ability to develop shell scripts. Experience in using Data Governance tools. Communication: Excellent communication skills.