Mid-Level Software Engineer Metadata Bus and Data Connections
Mid-Level Software Engineer Metadata Bus and Data Connections
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Job Description
We are seeking a MidLevel Software Engineer to work on a platform that integrates data from various systems to ensure the completeness accuracy and accessibility of datasets. The role focuses on building and improving data connections maintaining a core product that collects metadata and implementing new features that enhance the platforms capabilities.
This position involves working with large datasets API integrations and data processing systems requiring a strong backend focus and familiarity with data management technologies.
Candidates must be willing to work U.S. standard business hours in EST CST MST or PST time zone.
Key Responsibilities:
- Build and maintain data connections between existing data sources making them available for analysis in graphing systems.
- Contribute to the refactoring of the data bus and enhance resource graphing capabilities.
- Work on feature requests to improve the completeness and accuracy of collected data.
- Collaborate closely with teams to integrate APIs and ensure seamless data flow.
- Implement and maintain scalable solutions using Kotlin Java and GraphQL for backend systems.
- Support API integrations using gRPC and Kafka and work on data processing with Spark and Kubernetes.
- Use React IFL and TypeScript for frontend tasks related to the platform.
Qualifications :
Required Skills and Experience:
- 35 years of experience as a Software Engineer with a strong focus on backend development.
- Proficient in Kotlin and Java with experience in policy Java code development.
- Familiarity with GraphQL Kafka and gRPC for API integrations.
- Experience with data processing using Apache Spark and container orchestration with Kubernetes.
- Frontend development experience using TypeScript and React IFL.
- Strong experience in API Integration for seamless data flow across systems.
- Proficiency in Git and version control systems like GitHub GitLab or Bitbucket for collaboration and code management.
- Knowledge of ElasticSearch MongoDB and SQL for database management and data querying.
Additional Skills (Nice to Have):
- Familiarity with CI/CD pipelines using tools like Jenkins CircleCI or GitLab CI for automating the software delivery process.
- Experience with cloud platforms such as AWS Azure or Google Cloud for deploying applications and managing infrastructure.
- Understanding of containerization with Docker and Kubernetes for scalable deployment across environments.
- Proficiency in testing and debugging tools such as JUnit Jest Cypress Selenium and Postman for unit integration and endtoend testing.
- Knowledge of database scalability techniques such as replication sharding and partitioning (nice to have).
Remote Work :
Yes
Employment Type :
Contract
Employment Type
Remote
