Data Engineer

Job Titel: Data Engineer Location: Berkeley Heights, NJ Job 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. Behavioral Skills: Good Communication skills 5 days Work from Office at Berkley Heights, NJ Team Player Ability to work in a changing environment Strong problem solving and analytical skills Ability to work independently or within a team Manage day-to-day challenges and communicate developmental risks with the technical team Qualifications: Bachelor’s degree in computer science, Software Engineering, or a related field. Proficiency in business process modeling and documentation tools. Product implementation experience is preferred