Trinity Life Sciences
From Trinity Life Sciences's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Cloud: AWS, Azure (data integration workloads, cloud-native services)
Integration Frameworks: Apache Camel (preferred), Spring Integration, Mule ESB, Talend
Data Integration: ETL/ELT, batch processing, streaming, messaging systems (e.g., Kafka, JMS)
Containerization & Orchestration: Docker, Kubernetes (EKS), Helm
Infrastructure as Code: Kubernetes manifests (YAML), Kustomize, Helm charts
API & Interoperability: REST APIs, data exchange patterns
Version Control Tool: GitHub
CI/CD: GitHub Actions, Azure DevOps, Jenkins
Programming Languages: Java, Python, Groovy, Shell scripting
Database Systems: PostgreSQL, MySQL, SQL Server
Data Governance & Quality: Metadata management, data validation, data quality frameworks
Bachelor’s degree in Computer Science, Information Technology, or a related field.
4–5 years of hands-on experience in system integration, platform engineering, cloud-based application support, or data integration.
Familiarity with any one of the enterprise integration frameworks such as Apache Camel,
Spring Integration, Mule ESB, or Talend.
Working understanding of integration patterns including APIs, messaging, batch processing and streaming concepts.
Experience supporting and implementing system integrations across enterprise applications and platforms.
Ability to analyze source systems, contribute to data mapping, and maintain technical or metadata documentation.
Familiarity with data governance and data quality concepts, including validation, standards and metadata practices.
Exposure to cloud platforms such as AWS, Azure, or GCP, including supporting application or integration workloads in cloud environments.
Working knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity with CI/CD pipelines and tools such as GitHub Actions, Jenkins, or Azure DevOps.
Proficiency in scripting or automation using Python, Bash, PowerShell, or similar languages.
Working knowledge of relational databases such as PostgreSQL, MySQL, or SQL Server.
Understanding of system scalability, performance, and reliability in distributed environments.
Ability to document technical designs, system flows, deployment approaches, and business or technical requirements.
Experience supporting deployments, troubleshooting technical issues, and contributing to performance improvements.
Strong collaboration and communication skills, with the ability to work across engineering, platform, data, and business teams.
Detail-oriented with the ability to manage multiple technical tasks and deliver within defined timelines.
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