About the role
Technologies:
- 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
What We Are Looking For
- 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.