Description

Design, build, and maintain scalable Abinitio Data Fabric Frameworks and ingestion pipelines on Kubernetes.

This role is on-site.

Responsibilities

• Design and develop Data Fabric Framework capabilities for complex data scenarios.
• Build generic data ingestion solutions using proven problem-solving methodologies.
• Create custom extractors and perform Metadata Hub UI customization and extension set development.
• Run Abinitio pipelines in GKE Kubernetes environments ensuring optimal performance.
• Integrate webservice components in Abinitio with existing data pipelines.

Required Skills

• 5+ years experience with Abinitio, Data Fabric Framework, and Metadata Hub.
• Strong knowledge of DSG, Conduct>It, Query>IT, Easy Data, and Semantic Discovery.
• Proven record of solving complex problems using Meta programming and batch/continuous graphs.
• Experience deploying and managing Abinitio on-premise and Kubernetes (GKE) deployments.
• Understanding of how Abinitio products communicate in distributed environments.

Preferred Skills

• Experience with webservice components and custom extractors.
• Expertise in automated testing using Abinitio and regression test pack writing.

Key Skills

Education

Any Graduate