Senior Full-Stack Software Engineer (Data Pipeline Focus)

• Drive the continual evolution of a mature software system, encompassing code quality, testing, documentation, and Jira ticket management, while leading the end-to-end design and implementation of data processing workflows.
• Leverage established design patterns and AI platforms to streamline code development, data transformation, and schema management, ensuring the product’s long-term scalability and maintainability.

• Extensive software engineering experience in Java, and in developing Java-based REST APIs.
• Experience with NoSQL databases (e.g., Elasticsearch, MongoDB, Redis, Dgraph, etc.).
• Proficiency in at least two of the following: Spring Boot Rest APIs and Spring Libraries (Spring Security, Spring Data, etc.), data wrangling and dataflow (i.e., incorporating aspects of data discovery, mining, analysis, cleaning, exploration, modeling, structuring, transforming, enriching, and validating), proficiency in dataflow tools such as Apache Nifi.
• Familiarity with Git for version control, and Maven and/or npm for build automation.
• Proficient working in a Linux development environment.
• Demonstrated willingness and ability to learn new tools, technologies, and workflows.
• Experience using Atlassian task-tracking and documentation tools like Jira and Confluence, or similar platforms.
• Excellent communication and teamwork skills.

Nice to Have:

• Experience with various corporate data formats.
• Leveraged AI platforms to assist in hybrid automated/manual data transformation, code development, and schema management.
• Familiarity with CI/CD tools (e.g., GitLab) and automated testing (e.g., JUnit).
• Advanced knowledge of containerization and orchestration platforms, including Docker/Podman and Kubernetes.
• Proficient in JSON and JSON Schemas or a similar schema framework, with a strong background in data modeling concepts and techniques.
• Experience with AWS services (EC2, S3, SQS, SNS, Lambdas, etc.).
• Scripting with Bash, Python, and/or Groovy.
• Knowledge of event-driven or messaging technologies such as Kafka or RabbitMQ.
• Frontend development experience with modern JavaScript and a GUI framework like Vue.js.
• Experience with production TAO capabilities and operations.

Experience Required: 12 years with Bachelor’s degree in a technical discipline or 16 years without degree