Abintio Data Engineer
Job Description
Job Title : Data Engineer Ab initio
\n
Location: Berkeley Height, NJ
\n
\n
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.
\n
\n
Key Responsibilities:
\n
• Create complex Ab Initio continuous flow graphs, including stateful joins, sliding time windows, and aggregations.
\n
• Implement event-driven data pipelines using Kafka, MQ, and file streams.
\n
• Ensure the resilience of continuous flows, including checkpointing and recovery, to guarantee "exactly-once" processing.
\n
• Apply advanced Ab Initio components (e.g., Reformat, Rollup, Join, Partition) to ensure low-latency performance.
\n
• Proactively monitor live production streams to ensure 24/7 reliability and troubleshooting data issues
\n
• Develop ETL pipelines for batch and real-time data ingestion and transformation.
\n
• Implement and ensure data validation, data security, integrity, and compliance across big data platforms.
\n
• Monitor and troubleshoot performance issues in large-scale clusters.
\n
• Collaborate with data scientists, analysts, and application teams to deliver high-quality data solutions.
\n
• Automate workflows and improve operational efficiency using scripting and orchestration tools.
\n
Required Skills & Qualifications:
\n
• Deep understanding of credit card process system
\n
• Deep knowledge of GDE (Graphical Development Environment), EME (Enterprise Meta>Environment), Conduct>It, and Continuous Flows.
\n
• Understanding of Kafka, message queues, and real-time stateful services.
\n
• Proficiency in Unix/Linux shell scripting, SQL, and database technologies (e.g., Oracle, Teradata).
\n
• Experience in Java , Scala, Python or Kafka is plus.
\n
• Familiarity with Linux/Unix environments and shell scripting.
\n
• Understanding of data security, governance, and compliance standards.
\n
• Experience with cloud-based big data platforms
\n
• Exposure to containerization (Docker, Kubernetes) for big data workloads.
\n
• Knowledge of CI/CD pipelines for data engineering projects.
\n