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Ab Initio Data Engineer :- Berkley Heights, NJ :- 5 Days onsite

Hello Folks,

 

Hope you are doing great!

 

This is Himank Jani from ApTask.

 

We have urgent requirements with one of our client’s, please review the job description below and let me know if you have any relevant candidates on your bench, Kindly share.

 

Kindly share the DL location and work authorization status along with the profile
Relocation is fine, need strong candidate’s

 

Role: Ab Initio Data Engineer

No. of Positions: 3

Experience level: 11+ Years

Location: Berkley Heights, NJ

Work Mode: 5-days in office (flexible to support weekend)

 

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

 

 

 

 

 

 

 

 

 

Best Regards,

Himank Deepak Jani

 

ApTask | A global, diversity-certified workforce solutions provider.

Address: 120 Wood Ave South, Suite # 300, Iselin, NJ 08830

 

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Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com)
 Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

 

 

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