Description

You will design, develop, and maintain Ab-Initio data ingestion frameworks and components for on-prem and Kubernetes (GKE) deployments.

Responsibilities

• Build and enhance the Data Fabric Framework, creating generic solutions for complex data ingestion scenarios using batch and continuous graph concepts.
• Implement and maintain automated testing, including writing regression test packs and ensuring smooth execution in containerized GKE environments.
• Develop custom extractors and extend the Metadata Hub UI, modifying the Meta Model for discovery, catalog, and query capabilities.
• Integrate webservice components in Ab-Initio and support cross-service integration needs.
• Troubleshoot complex ETL and pipeline issues across ingestion and metadata layers.

Required Skills

• 5+ years of hands-on experience in Ab-Initio development and administration using GDE.
• Strong expertise in ETL design and development with a deep understanding of data ingestion frameworks.
• Proven ability to deploy and manage Ab-Initio pipelines in Kubernetes (GKE) and on-prem environments.
• Experience with Metadata Hub, including customization, extension sets, and metadata management concepts.
• Proficiency in building custom extractors, web services integration, and data processing workflows.
• Strong problem-solving skills with attention to detail in large-scale data systems.
• Experience in test automation and regression testing using Ab-Initio.

Preferred Skills

• Understanding of data architecture and data engineering concepts.
• Ability to communicate and collaborate effectively with cross-functional teams.

Key Skills

Education

Any Graduate