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Pega CDH / Customer Decision Hub Developer

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Hybrid

Pega CDH / Customer Decision Hub Developer

CGI

Pega CDH / Customer Decision Hub Developer

Skills

SQL QueriesData EngineeringJavaTesting & QA

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

16 September 2026

What they need


Job Overview

We are looking for experienced professionals with a strong background in Pega Customer Decision Hub (CDH), Java/Data, or Informatica to join our team. The ideal candidate should have experience working with customer data, decisioning, data integration, or enterprise application development and should be comfortable working in a fast-paced technology environment.

Candidates with strong Pega CDH/Next-Best-Action, Java/Data Engineering, or Informatica ETL/Data Integration experience are encouraged to apply.

Key Responsibilities:

  • Design, develop, and support Pega Customer Decision Hub (CDH) solutions.
  • Work on Next-Best-Action (NBA) strategies, customer engagement, and decisioning use cases.
  • Develop and maintain data pipelines, data integrations, and customer data flows.
  • Analyze business and technical requirements and translate them into scalable solutions.
  • Integrate Pega applications with upstream/downstream enterprise systems.
  • Work with customer data, data models, APIs, databases, and ETL processes.
  • Troubleshoot application, data, and integration issues.
  • Collaborate with business analysts, architects, developers, QA, and data teams.
  • Participate in design, development, testing, deployment, and production support activities.
  • Ensure solutions follow enterprise architecture, security, coding, and performance standards.

Required Skills

Primary Pega CDH / Decisioning

  • Hands-on experience with Pega Customer Decision Hub (CDH).
  • Knowledge of Pega Next-Best-Action (NBA) and decision strategies.
  • Experience with Pega decisioning, customer engagement, or marketing applications.
  • Understanding of customer data, segmentation, eligibility, and decisioning concepts.
  • Good knowledge of SQL and data integration concepts.

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