Jobs / Nex***

Data Engineer (Ab Initio, Flink) | Berkeley Heights, NJ (5 Days Onsite) | Contract W2 only

Nex*** · Berkeley Heights, NJ, United States
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Berkeley Heights, NJ, United States50-55 USD/hourlyHybrid
Remuneration
50-55 USD/hourly
Location
Berkeley Heights, NJ, United States
Visa sponsorship
Sponsors visa

Job summary

Job Title: Data Engineer (Ab Initio, Flink) Location: Berkeley Heights, NJ (5 Days Onsite) Duration: long term Type: Contract W2 Experience: 7+ Yrs 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.

Qualifications

  • Experience: 7+ Yrs
  • 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
  • Bachelor's degree in computer science, Software Engineering, or a related field.
  • Proficiency in business process modeling and documentation

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

Degrees

BachelorDegree

Work schedule

24/7

Industry

AutomotiveEnergyPublic-sector

Company size

EnterpriseSmb