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iDbase Software is looking for a highly specialized Senior Data Integration Engineer in Johannesburg to design and maintain robust integrations within a complex enterprise ecosystem. Responsibilities include implementing integration patterns, building ETL pipelines, and ensuring data integrity and security.
The candidate should have 6+ years of experience, deep skills in Qlik Talend, and strong SQL capabilities. This position is a full-time opportunity located in South Africa.
About the Role
We are seeking a highly specialized Senior Data Integration Engineer to design, build, and maintain robust, scalable integrations across a complex enterprise ecosystem. This role focuses on enabling seamless system-to-system data flows, ensuring high availability, and providing real-time access to data across legacy, cloud, and SaaS platforms.
You will act as a subject matter expert in enterprise data movement and virtualization, bridging the gap between disparate technologies while ensuring integration reliability, governance, and performance at scale.
Key Responsibilities
Requirements & Qualifications
Must-Have Skills & Experience:
• 6+ years of professional experience in data integration, ETL development, middleware administration, or enterprise application integration
• Deep, hands-on expertise with Qlik Talend (Cloud or On-Premise) for designing complex workflows and transformations
• Proven experience configuring and tuning Qlik Replicate for log-based CDC and real-time replication across heterogeneous systems
• Strong experience with Denodo (or similar enterprise data virtualization platforms)
• Expert-level SQL skills with advanced data mapping, transformation, and validation capabilities
• Strong understanding of enterprise integration patterns including batch processing, messaging, and API-led connectivity
• Experience ensuring high availability, monitoring, and operational stability of integration services
Highly Desirable Skills:
• Experience with cloud integration services such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow
• Experience designing RESTful APIs and working with API gateways (Apigee, MuleSoft, Kong)
• Familiarity with messaging and streaming platforms such as Kafka, RabbitMQ, or IBM MQ
• Proficiency in scripting languages (Python, Shell) for automation and enhancement of integrations
• Understanding of data governance principles, data lineage, and metadata management
• Experience implementing CI/CD pipelines for integration deployments using Git, Jenkins, or Azure DevOps
Education
• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field
Additional Information