We are seeking a highly skilled resource to design and implement high-performance, event-driven data pipelines, ensuring low-latency data processing and high availability system for the large credit card processing system. The ideal candidate will work with the Ab Initio ecosystem (GDE, EME, Conduct>It) to build stateful services that ingest, filter, and transform data from sources like Kafka or message queues, pushing updates to dashboards or downstream databases in near-real-time.

Key Responsibilities:

• Create complex Ab Initio continuous flow graphs, including stateful joins, sliding time windows, and aggregations.

• Implement event-driven data pipelines using Kafka, MQ, and file streams.

• Ensure the resilience of continuous flows, including checkpointing and recovery, to guarantee exactly-once processing.

• Apply advanced Ab Initio components (e.g., Reformat, Rollup, Join, Partition) to ensure low-latency performance.

• Proa...