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.