Ab Initio Consultant

Mphasis; Berkeley Heights (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Mphasis in New Jersey seeks a data engineer to design and implement high-performance, event-driven data pipelines for a large credit card processing system. You will work with Ab Initio (GDE, EME, ConductIt) to build stateful services ingesting data from Kafka and message queues for near-real-time dashboards.

Responsibilities include ensuring exactly-once processing, monitoring 24/7 production streams, and collaborating with data scientists and developers to deliver reliable data solutions.

Qualifications

• Experience designing Ab Initio continuous flow graphs with stateful joins and sliding windows.
• Proficient with Kafka, MQs, and real-time streaming.
• Knowledge of data security, governance, and compliance.
• Experience with large-scale data processing and dashboards.
• Background in Unix/Linux and SQL databases.
• Experience with cloud-based big data platforms.
• Exposure to containerization for big data workloads.

Responsibilities

• Design and implement high-performance, event-driven data pipelines using Ab Initio.
• Build stateful services ingesting data from Kafka or message queues.
• Ensure exactly-once processing with checkpointing and recovery.
• Apply Ab Initio components like Reformat, Rollup, Join, Partition for low latency.
• Monitor production streams for 24/7 reliability and troubleshoot data issues.
• Develop ETL pipelines for batch and real-time ingestion.
• Ensure data validation, security, integrity, and compliance across platforms.
• Monitor and troubleshoot performance in large-scale clusters.
• Collaborate with data scientists and developers to deliver data solutions.
• Automate workflows using scripting and orchestration tools.

Skills

Ab Initio GDE/EME/ConductIt

Kafka

Stateful data pipelines

Unix/Linux shell scripting

SQL / Oracle / Teradata

Java / Scala / Python

CI/CD pipelines

Docker

Kubernetes

Education

Bachelor’s degree in Computer Science, Software Engineering, or related field

Tools

Ab Initio software suite

Docker

Kubernetes

Oracle

Teradata

Job description

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 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:

• 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