STIBO STEP Developer - Data Modeling & Integrations

VOLTO Consulting

Columbus (IN)

On-site

USD 95,000 - 135,000

Full time

14 days+

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Job summary

VOLTO Consulting seeks a STIBO Developer with strong STEP 11.x experience to translate business requirements into STEP configurations and technical designs. The role involves solutioning, workshops, and driving stakeholder sign-offs across data modeling, integrations, and UI configurations.

You will design data models, develop STEP components, and build integrations with ERP/eCommerce/PLM/DAM using REST/SOAP APIs, while enforcing data quality and governance practices.

Qualifications

  • 5-8 yrs experience with STIBO STEP in data modeling, workflows, and UI config.
  • Strong Java or JVM language skills and SQL.
  • Experience integrating STEP with ERP/CRM via APIs.
  • Excellent written and verbal communication.
  • Ability to lead workshops and create technical specs.

Responsibilities

  • Solutioning & customer engagement
  • Translate business requirements into STEP configurations and designs
  • Facilitate workshops; create specs; drive sign-offs
  • Develop and configure STEP components and UI
  • Design data models and workflows; setup rules
  • Implement imports/exports and publications; UI roles
  • Build integrations with ERP/eCommerce/PLM/DAM via REST/SOAP
  • Data quality rules and governance; stewardship
  • Optimize STEP jobs; performance and security
  • DevOps: CI/CD; deployment automation; docs
  • Communicate status; release notes; training material

Skills

STIBO STEP 11.x
Java / JVM
SQL
REST/SOAP APIs
Data modeling

Job description

VOLTO Consulting seeks a STIBO Developer with strong STEP 11.x experience to translate business requirements into STEP configurations and technical designs. The role involves solutioning, workshops, and driving stakeholder sign-offs across data modeling, integrations, and UI configurations.

You will design data models, develop STEP components, and build integrations with ERP/eCommerce/PLM/DAM using REST/SOAP APIs, while enforcing data quality and governance practices.

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