Senior Engineer

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.