Process Developer-Data Center Associate
2 months ago
Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Inviting applications for the role of Process Developer-Data Center Associate
An Associate Data Centre Engineer plays a crucial role to play & orchestrate the physical validation plus central inventory keeping of data centre assets & accessories info in the company records (ServiceNow) throughout various stages that lie between receiving till disposal. This position involves adhering to process controls while coordinating with PAN India stakeholders who deal with physical storage till disposal of data centreequipment and peripherals.
Responsibilities:
Deliverables: -Develop and deliver the regular engineering reports and ensure adherence to receiving, updating and SLA’s and KPI’s.
Reporting Tools:-To ensure timely management of the DC equipment’s(Serial + Non-Serial Controlled Devices) are up-to-date in Hardware Asset Management system.
Preventive Maintenance: Perform regular inspections and preventive maintenance on all data center equipment to prevent potential failures.
Documentation:Maintainaccurate records of work activities, including installations, repairs, and updates. Present reports to superiors as required.
Qualifications we seek in you
Minimum Qualifications
High school diploma, Graduate/Post-Graduate or equivalent; an associate degree in IT or related field is preferred.
Previous experience in a data centre environment is beneficial but not mandatory
Excellent organizational, verbal and written communication skills
Preferred Qualifications
Experience in root cause analysis and implementing statistical methods for causal inference and experimental design.
Excellent problem-solving, analytical, and critical thinking skills.
Strong communication and collaboration abilities, with the ability to work effectively in cross-functional teams.
Passion for staying up-to-date with the latest advancements in data science, machine learning, and related technologies
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