Role: Ab Initio Data Engineer
Location: Berkley Heights, NJ
Work Mode: 5-days in office (flexible to support weekend)
Duration: Long Term Contarct
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.
Responsibilities
• Design, develop, and maintain complex ETL graphs using Ab Initio GDE (Graphical Development Environment)
• Architect end-to-end data integration solutions spanning multiple source/target systems (RDBMS, mainframe, flat files, message queues)
• Optimize graph performance — parallelism, partitioning (broadcast, hash, range), layout tuning, checkpointing
• Lead development using Ab Initio components: Co>Operating System, EME (Enterprise Meta>Environment), Conduct>It, Data Profiler, Continuous Flows
• Own metadata management and data lineage within EME
• Design and implement CDC (Change Data Capture) and near-real-time data pipelines
• Troubleshoot production job failures, perform root-cause analysis, and implement fixes with minimal downtime
• Define coding standards, review peer-developed graphs, and enforce best practices
• Mentor junior/mid-level Ab Initio developers
• Collaborate with data architects, DBAs, and business analysts to translate requirements into technical design
Required Qualifications
• Bachelor’s degree in Computer Science, Engineering, or related field
• 7+ years of ETL development experience, with 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 concepts and Ab Initio partitioning/multi-file system (MFS)
• Strong SQL skills and experience with major RDBMS (DB2)
• Experience with Unix/Linux shell scripting
• Solid understanding of data warehousing concepts (dimensional modeling, SCDs, star/snowflake schemas)
• Experience with Kafka
• Strong debugging and performance-tuning skills for large-volume data processing
Preferred Qualifications
• Experience with mainframe data integration (COBOL copybooks, VSAM, flat files)
• Exposure to Kubernetes, openshift
• Familiarity with Hadoop/Spark ecosystems and hybrid ETL architectures
• Knowledge of API-based or streaming integration (Kafka)
• Prior experience as a technical lead or in a client-facing architecture role
Soft Skills / Leadership
• Strong analytical and problem-solving skills for complex data issues
• Ability to lead design discussions and drive technical consensus
• Effective mentorship and knowledge-sharing across the team
• Clear communication with both technical and business stakeholders
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
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