Ab Initio Developer – Real-Time Data Processing
systechcorpElizabeth (NJ)
Ab Initio Developer – Real-Time Data Processing
Posted 9 days ago
systechcorpElizabeth (NJ)
SENIORITY
Senior
About the role
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.
- Proactively monitor live production streams to ensure 24/7 reliability and troubleshooting data issues
- Develop ETL pipelines for batch and real-time data ingestion and transformation.
- Implement and ensure data validation, data security, integrity, and compliance across big data platforms.
- Monitor and troubleshoot performance issues in large-scale clusters.
- Collaborate with data scientists, analysts, and application teams to deliver high-quality data solutions.
- Automate workflows and improve operational efficiency using scripting and orchestration tools.
Required Skills & Qualifications:
- Deep understanding of credit card process system
- Deep knowledge of GDE (Graphical Development Environment), EME (Enterprise Meta>Environment), Conduct>It, and Continuous Flows.
- Understanding of Kafka, message queues, and real-time stateful services.
- Proficiency in Unix/Linux shell scripting, SQL, and database technologies (e.g., Oracle, Teradata).
- Experience in Java, Scala, Python or Kafka is plus.
- Familiarity with Linux/Unix environments and shell scripting.
- Understanding of data security, governance, and compliance standards.
- Experience with cloud-based big data platforms
- Exposure to containerization (Docker, Kubernetes) for big data workloads.
- Knowledge of CI/CD pipelines for data engineering projects.
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