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Pega lsa

Humber
Adroit People Ltd
Posted: 21h ago
Offer description

Job Description

Detailed LSA JD:

* Must be CLSA certified on 8.x, preferred Infinity version
* Overall Pegaexp should be greater than 10+ yrs.
* Knowledgeon Pegainstallation (Version 24.2)
* Must be able to understand and breakdown the user stories into tasks
* Should be able to support and guide the team.
* Should have hands-on to execute the tasks individually.
* Should be able to update the daily report to leadership/ clients
* Must be able to prioritize the tasks based on urgency and need.
* Should be able to create and own High-Level design (HLD) and Low-Level design (LLD).
* Should be able to govern and manage the confluence/SharePoint
* Must be able to manage the deliverables and work in the absence of team member
* Must be aware of all Pegabest practices and guardrails.
* Must have good analytical and communication skills.
* Excellent knowledge in SDLC, agile and other implementation methodologies.
* Pegaimplementation methodology knowledge.
* Must be knowledgeable on ECS, Situational Layer Cake and Case Management
* Able to execute the Architectural Design and implementation
* Should be able to support CoE activities
* Should be able to support estimates for RFPs / RFIs.
* Able to mentor junior members/ Team leads in the team and help them technically.
* Experience in developing and managing Workflows, User Interfaces, Activities, Utility and Decision Rules.
* Must have SQL knowledge to execute DDL (preferred), DML and DQL
* Experience in various types of rules like Correspondence rules, Integration rules like traditional and DX-APIs, Validation Rules.
* Excellent knowledge on using debugging like Clipboard, Tracer, Rules Inspector, performance tools, PDC, and AES.
* Must be experienced on PRPC reporting tools.
* Must have experience having external integrations.
* Must have knowledge on Constellations
* Must have knowledge on Agents and Job Schedulers
* Must have knowledge on Channels implementation.
* Must have knowledge on skin rules implementation.
* Must have knowledge on Kafka, Kubernetes and Cloud technologies
* Must have knowledge on Blueprint, Gen-AI, Knowledge Buddy integrations

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