{"schemaVersion":"jobsearcher.job.v1","id":"85649568a5cc8af9f2175576","url":"https://jobsearcher.com/jobs/85649568a5cc8af9f2175576","canonicalUrl":"https://jobsearcher.com/jobs/85649568a5cc8af9f2175576","title":"Ab Initio Developer – Real-Time Data Processing","description":"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.","company":"Systechcorp","rawCompany":"systechcorp","city":"Elizabeth","state":"NJ","isRemote":false,"isActive":true,"createdAt":"2026-10-30T05:18:10.678Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Ab Initio Developer – Real-Time Data Processing","description":"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.","datePosted":"2026-10-30T05:18:10.678Z","dateModified":"2026-10-30T05:18:10.678Z","hiringOrganization":{"@type":"Organization","name":"Systechcorp","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Elizabeth","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"85649568a5cc8af9f2175576"},"url":"https://jobsearcher.com/jobs/85649568a5cc8af9f2175576"}}