Software Engineer (Data Discovery and Operations)

Job description

As a Software Engineer, you will join a multidisciplinary product development team that plays a crucial role in enabling data discovery and facilitating data-driven decision-marking. Your team will be responsible for designing, developing, and implementing technical data solutions to streamline data search and discovery, enable seamless exploration and utilization of data assets, and support data sensemaking for decision-making. In this role, you will need a strong foundation in software engineering and contribute across the full technology stack, from building data processing pipelines to developing backend data services and front-end interfaces. Your role will also involve adopting state-of-the-art technologies, including AI components, as part of the technical solution. ### Responsibilities - Design, develop, and maintain high-quality applications and/or data pipelines - Source, evaluate, and integrate state-of-the-art technologies into applications and/or data pipelines - Debug and resolve bugs and performance issues - Participate in code and design reviews to enhance code quality and software architecture - Stay updated with the latest industry trends and technologies related to software and data engineering - Communicate technical solutions effectively to diverse stakeholders ### Minimum Requirements - Background in Computer Science, Computer Engineering, Information Systems, or a related field - 2 years of experience in application development - Strong proficiency in Python, Java, and JavaScript programming languages - Familiarity with ReactJS/TypeScript and Spring Boot - Experience with microservice architecture, and REST API design and integration - Familiarity with relational (e.g. MSSQL) and NoSQL databases (e.g. MongoDB), and search engines (e.g. Elasticsearch) - Familiarity with Git and Agile development methodologies - Strong problem-solving and analytical skills - Excellent written and verbal communication skills ### Nice-to-haves - Experience with cloud-native infrastructure (such as Docker, Kubernetes container infrastructure) - Knowledge of CI/CD pipelines - Experience with using Generative AI technologies and frameworks such as LangChain - Experience with using Tableau