Job Description

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.