Ab Initio Data Engineer

Berkeley Heights, NJ, US • Posted 7 hours ago • Updated 7 hours ago
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ("AB INITIO") AND (" AB INITIO GDE") AND (CDC) AND (" CHANGE DATA CAPTURE")

Summary

Job Title: Ab Initio Data Engineer

Location: Berkeley Heights, NJ (5 days onsite — flexibility to support weekends)

Job Type: Contract

Experience: 7+ years ETL development; 5+ years Ab Initio in production

Job Overview

We are seeking a highly skilled Ab Initio Data Engineer to design and implement high-performance, event-driven data pipelines for a large credit card processing system. You will work within the Ab Initio ecosystem to build stateful services that ingest, filter, and transform data from Kafka and message queues, pushing near-real-time updates to dashboards and downstream databases.

Key Responsibilities

  • Design, develop, and maintain complex ETL graphs using Ab Initio GDE
  • Architect end-to-end data integration solutions spanning multiple source/target systems: RDBMS, mainframe, flat files, message queues
  • Optimize graph performance — parallelism, partitioning, layout tuning, checkpointing
  • Own metadata management and data lineage within EME
  • Design and implement CDC and near-real-time data pipelines
  • Troubleshoot production job failures and perform root-cause analysis
  • Define coding standards and review peer-developed graphs
  • Mentor junior and mid-level Ab Initio developers
  • Collaborate with data architects, DBAs, and business analysts on technical design

Required Skills

  • 7+ years ETL development experience; 5+ years specifically in Ab Initio
  • Strong hands-on expertise with Ab Initio GDE, Co>Op, EME, and Conduct>It
  • Deep understanding of parallel processing and Ab Initio partitioning/multi-file system (MFS)
  • Strong SQL and experience with DB2 and major RDBMS platforms
  • Unix/Linux shell scripting experience
  • Solid understanding of data warehousing concepts: dimensional modeling, SCDs, star/snowflake schemas
  • Experience with Apache Kafka
  • Strong debugging and performance-tuning skills for large-volume data processing

Preferred Skills

  • Experience with mainframe data integration: COBOL copybooks, VSAM, flat files
  • Exposure to Kubernetes and OpenShift
  • Familiarity with Hadoop/Spark ecosystems and hybrid ETL architectures

Location & Work Model

Berkeley Heights, NJ — fully onsite, 5 days per week. Candidates must be flexible to support weekend operations when needed.

Engagement Details

 

3 openings available. Contract engagement. Bachelor's degree in Computer Science, Engineering, or related field required.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113809
  • Position Id: 110491-1090-1785767703
  • Posted 7 hours ago
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