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Automation Testing Automation Testing

Automation Testing Automation Testing

Zensar

5 - 10 years

7 - 11 Lacs

Kolkata Mumbai New Delhi Hyderabad Pune Chennai Bengaluru

Posted:4 days ago| Platform:

Apply

Skills Required

Manual testing Version control GIT Simulation Test scripts Test management Engineering Manager JIRA DSL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title: QA/Test Engineer - PowerFactory Automation

Team

: PowerFactory Automation, ET - National Grid

Number of Position- 1 to 2

Roles and Responsibilities

Collaborate with developers, power system engineers, and business analysts to understand testing needs and ensure domain-aligned validation.
Define and execute test cases for automation scripts and power system study outputs (e.g., load flow, contingency analysis, fault level).
Perform manual testing of Power Factory-based workflows and data pipelines.
Identify, document, and track bugs and inconsistencies in data and automation logic.
Ensure test scripts are created, maintained, and executed to meet project deliverables.
Support UAT cycles and coordinate with stakeholders to validate deliverables.
Contribute to continuous improvement of QA processes and testing frameworks.

Required Skill Set

5+ years of experience in software testing or QA roles, with
mandatory exposure to the energy or utilities domain
either through professional experience or academic background in
electrical/power systems engineering
.
Strong understanding of power systems concepts (e.g., load flow, fault analysis, contingency analysis).
Familiarity with scripting languages (e.g.,
Python
,
DPL
, or
DSL
).
Experience with test management tools (e.g.,
JIRA
,
TestRail
) and version control systems (e.g.,
Git
).
Strong analytical and problem-solving skills.
Excellent communication and documentation abilities.

Nice to Have

Hands-on experience with
DIgSILENT PowerFactory
or similar power system simulation tools.
Exposure to automation testing frameworks and CI/CD pipelines.
Knowledge of data validation techniques and working with large datasets.

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