Ab Initio Consultant

Title: Ab Initio ConsultantRole: Streaming Data Engineer – Ab Initio, OzoneCH, FlinkLocation: Berkeley Heights, NJ (5 Days Onsite)F2F interview.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 issuesDevelop 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 systemDeep 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 platformsExposure to containerization (Docker, Kubernetes) for big data workloads.Knowledge of CI/CD pipelines for data engineering projects.Behavioral Skills:Good Communication skills5 days Work from Office at Berkley Heights, NJTeam PlayerAbility to work in a changing environmentStrong problem solving and analytical skillsAbility to work independently or within a teamManage day-to-day challenges and communicate developmental risks with the technical teamQualifications: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