What are the responsibilities and job description for the Ab Initio Developer position at Brilliant Infotech Inc.?
AB Initio Developer
Columbus OH
W2 Candidates Only
Currently using for orchestration for all of the output from opentext
Must have strong knowledge in GDE
Must be strong in programming using DML and XFR
Primary focus is to understand what is in house today, run the analysis, and then help develop and orchestrate the new statements
Everything is automated through CICS pipeline Working with Jules and Spinnaker Must have strong understanding of CICD
Splunk/Dynatrace/Grafana is a big plus
Ab Initio core development
GDE proficiency: designs and builds complex graphs end-to-end; strong command of component configuration, metadata propagation, partitioning, and checkpointing.
Reusable framework mindset: parameterized graphs, shared subgraphs, reusable transform components, standardized logging/error handling patterns.
Programming in transforms: strong use of DML, XFR, and embedded scripting where used; can write efficient expressions and avoid costly per-record logic.
Metadata discipline: robust record formats, strict typing, handling of optional/nullable fields, encoding/locale concerns, and schema evolution strategy.
Columbus OH
W2 Candidates Only
Currently using for orchestration for all of the output from opentext
Must have strong knowledge in GDE
Must be strong in programming using DML and XFR
Primary focus is to understand what is in house today, run the analysis, and then help develop and orchestrate the new statements
Everything is automated through CICS pipeline Working with Jules and Spinnaker Must have strong understanding of CICD
Splunk/Dynatrace/Grafana is a big plus
Ab Initio core development
GDE proficiency: designs and builds complex graphs end-to-end; strong command of component configuration, metadata propagation, partitioning, and checkpointing.
Reusable framework mindset: parameterized graphs, shared subgraphs, reusable transform components, standardized logging/error handling patterns.
Programming in transforms: strong use of DML, XFR, and embedded scripting where used; can write efficient expressions and avoid costly per-record logic.
Metadata discipline: robust record formats, strict typing, handling of optional/nullable fields, encoding/locale concerns, and schema evolution strategy.
- Performance engineering & scalability
- Data engineering fundamentals
- Platform & operational mastery
- Environment, deployment, and CI/CD