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Vertiv

Vertiv

Designs, manufactures, and services critical infrastructure

Application Development & Support Specialist

Full-Time
No salary listed
Mid, Senior
Pune, Maharashtra, India
In Person

About the job

Requirements
  • Four to eight years of hands-on experience in Master Data Management development or related fields.
  • A proven track record of delivering high-quality code in production environments.
  • Experience working in Agile/Scrum development environments.
  • Demonstrated ability to work with business users and cross-functional teams.
  • Hands-on experience developing with at least one Master Data Management platform, such as Informatica MDM, SAP MDM, or a similar platform.
  • Strong SQL skills for complex queries, data analysis, and optimization.
  • Experience developing data integration solutions and extract, transform, and load processes.
  • Proficiency in writing, debugging, and refactoring code.
  • Ability to troubleshoot and resolve complex data issues.
  • Experience with unit testing, integration testing, and regression testing.
  • Understanding of the complete software development lifecycle.
  • Experience with requirements analysis and technical design.
  • Knowledge of continuous integration and continuous delivery pipelines and automated deployment.
  • Familiarity with version control systems such as Git.
  • Understanding of change management processes.
  • Experience with post-production validation and support.
  • Good verbal and written communication skills.
  • Ability to work effectively in a team environment.
  • Comfortable working with business users, vendors, and vendor resources.
  • Ability to explain technical concepts to non-technical audiences.
  • Strong documentation skills
Responsibilities
  • Develop and implement new Master Data Management capabilities and features.
  • Write high-quality, maintainable Master Data Management code following best practices.
  • Implement data integration solutions to synchronize data across systems.
  • Configure and customize Master Data Management platform components.
  • Develop and optimize complex SQL queries for data processing and analysis.
  • Write and maintain unit tests for all code changes.
  • Execute system integration testing and support user acceptance testing activities.
  • Maintain and execute regression test cases to ensure platform stability.
  • Debug and troubleshoot code issues.
  • Refactor and optimize existing code for performance improvements.
  • Participate in code reviews and incorporate feedback.
  • Triage and resolve data issues within established service-level agreements.
  • Investigate and fix defects reported by users.
  • Perform root cause analysis for recurring issues.
  • Support production incidents and provide timely resolutions.
  • Document issue resolutions and update the knowledge base.
  • Support data migration activities and bulk update operations.
  • Assist with onboarding new systems, organizations, and datasets.
  • Perform data profiling and analysis to identify data quality issues.
  • Execute data reconciliation across multiple systems.
  • Ensure data integrity throughout integration activities.
  • Follow organizational processes for requirements, development, testing, deployment, and support.
  • Participate in sprint planning and daily stand-ups.
  • Complete assigned user stories within sprint commitments.
  • Create and maintain technical documentation.
  • Document code changes and update release notes.
  • Adhere to change management and deployment procedures.
  • Work effectively with business users to understand requirements.
  • Collaborate with vendor resources and offshore teams.
  • Participate in requirements gathering sessions.
  • Communicate technical issues and solutions clearly.
  • Support demos and sprint reviews.
  • Work across cross-functional teams to deliver solutions.
  • Follow secure coding practices.
  • Address security vulnerabilities identified in code reviews.
  • Ensure Sarbanes-Oxley compliance for all code changes.
  • Participate in security testing activities.
  • Implement data protection and privacy controls
Desired Qualifications
  • Multi-domain Master Data Management experience across customer, supplier, contact, and item domains.
  • Manufacturing industry experience.
  • Experience with ServiceNow for incident management.
  • Familiarity with data governance and data quality concepts.
  • Knowledge of information security best practices.
  • Experience with large-scale data migrations.
  • Certifications in Master Data Management platforms or data management

About the company

Vertiv designs, manufactures, and services critical digital infrastructure for data centers, networks, and facilities, including UPS, power distribution, switchgear, cooling (including liquid cooling for AI workloads), and racks, along with modular data centers and monitoring software. It provides end-to-end hardware and software to keep IT running, with services for installation, maintenance, lifecycle support, and consulting. Its broad, mature portfolio and global service network, rooted in the Liebert and Emerson heritage, let it offer integrated end-to-end solutions rather than just hardware. The goal is to help operators scale compute capacity while improving resilience, density, and energy efficiency to support the data economy.

Company Size

10,001+

Company Stage

IPO

Headquarters

Westerville, Ohio

Founded

2012

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Simplify's Take

What believers are saying

  • Vertiv raised 2026 guidance to $14 billion sales and $6.65-$6.75 adjusted EPS.
  • Q2 2026 revenue grew 24%, and adjusted free cash flow reached $925 million.
  • SGC Energy picked Vertiv for Gunsan's 300MW AI campus, energized in Q1 2028.

What critics are saying

  • Vertiv missed Q2 2026 revenue after supply-chain congestion and multistage project timing delays.
  • Schneider Electric sued Vertiv in July 2026, while Vertiv sued nVent over patents.
  • AI-campus delays can strand Vertiv's $15 billion backlog and inflate the $1.45 billion UIG deal.

What makes Vertiv unique

  • Vertiv combines Liebert heritage, global service reach, and integrated power-cooling systems.
  • PowerNexus bundles UPS and switchgear into one block, cutting deployment time 70%.
  • UIG acquisition moves Vertiv upstream into grid interconnects, microgrids, and onsite generation.

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Benefits

Health Insurance

Paid Vacation

Paid Sick Leave

401(k) Retirement Plan

Flexible Work Hours

Remote Work Options

Hybrid Work Options

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-3%

2 year growth

0%
Yahoo Finance
Sep 11th, 2026
Vertiv stock poised to rebound despite 30% dip from 52-week high

Vertiv Holdings shares have risen 109% over the past year, though they've recently pulled back 30% from their May highs. The AI infrastructure company manufactures power and thermal management equipment for data centers. The company reported strong second-quarter results, with revenue increasing 24% year-over-year to $3.27 billion and adjusted earnings jumping 60% to $1.52 per share. Adjusted free cash flow surged 234% to $925 million. Vertiv expects $14 billion in revenue for 2026, representing 37% growth from 2024. The company projects adjusted earnings per share of $6.70 for 2026, up 60% at the mid-point. Market tailwinds remain strong. Liquid-cooling systems in data centers are projected to grow at 26% annually through 2033, whilst Goldman Sachs predicts data center power demand could increase 170% between 2025 and 2030, supporting demand for Vertiv's power solutions.

Yahoo Finance
Sep 9th, 2026
Eaton vs. Vertiv: Which power management stock wins as infrastructure demand surges?

Eaton and Vertiv are competing for investor attention as infrastructure demand grows globally. Eaton, a diversified power management giant, operates across aviation, housing, and electrical markets in over 160 countries. In 2025, it generated $27 billion in revenue, up 10% year-on-year, with net income of $4 billion and a 15% net margin. Its debt-to-equity ratio stands at 0.5x. Vertiv focuses on critical digital infrastructure, supplying power and cooling technologies to hyperscale cloud providers. The company reported 2025 revenue of $10.2 billion, up 27.7%, with net income of $1.3 billion. Its net margin nearly doubled to 13% since 2023. Vertiv maintains a $15 billion backlog and a debt-to-equity ratio of 0.8x.

Yahoo Finance
Sep 8th, 2026
Vertiv targets $20B+ revenue by 2030 on AI infrastructure boom

Vertiv Holdings, a provider of AI infrastructure including power and cooling systems, generated $10.2 billion in net sales in 2025. The company expects 2026 sales between $13.8 billion and $14.2 billion, requiring only 13.5% annual revenue growth through 2029 to double its 2025 figures. Management targets 20% to 22% organic annual sales growth from 2025 through 2030, aiming for roughly $26 billion revenue in 2030. Vertiv exited 2025 with $15 billion in backlog, though orders can be cancelled or rescheduled. The company faces execution risks. Second-quarter 2026 revenue rose 24% year-over-year, but supply chain issues and project timing delayed some sales. Vertiv is expanding manufacturing capacity across power systems, integrated infrastructure and cooling to meet demand as AI data centres become harder to power and cool with rising computing density.

Data Center Dynamics
Sep 8th, 2026
SGC Energy partners with Vertiv to deploy PowerNexus at planned AI data center in Gunsan, South Korea.

SGC Energy partners with Vertiv to deploy PowerNexus at planned AI data center in Gunsan, South Korea. Expected to be energized in 2028 September 08, 2026 South Korean energy firm SGC Energy has partnered with Vertiv to maximize the efficiency of power and cooling solutions at SGC's planned data center in Gunsan, South Korea. The companies signed a non-binding Memorandum of Understanding, under which they will conduct joint technical reviews of the infrastructure for the AI data center. As part of the agreement, Vertiv plans to deploy its integrated power solution, PowerNexus, at the site, marking the first deployment of the system in South Korea. PowerNexus is a fully integrated system that combines a high-capacity uninterruptible power supply (UPS) and system switchgear into a single, factory-assembled block. According to the company, the system's modular nature means that it can be deployed up to 70 percent faster than alternatives and lower installation costs by up to 20 percent. "We plan to accelerate the construction of an unrivaled AI data center based on the close partnership between SGC Energy and Vertiv," said Hwang Se-hoon, an executive director at SGC Energy. "Because the AI data center business is a new growth pillar for the company, we will do everything possible to push the project forward without setbacks." News on SGC's data center was first revealed in February this year. The project will have a capacity of 60MW in its initial phase, with the potential to scale to up to 300MW at full buildout. Energization of the first phase is expected in Q1 2028. The 300MW facility will be built at the Gunsan National Industrial Complex 2, the largest of two industrial areas located around Gunsan that house shipbuilding facilities, power plants, battery production facilities, and more. According to the company, the data center will be built on approximately 100,000 sq ft (9,290 sqm) of land already owned by SGC Green Power, an affiliate of SGC Energy. More in asia pacific.

Yahoo Finance
Sep 5th, 2026
3 AI stocks off highs: Vertiv, Applied Optoelectronics and Innodata pullback explained

Three AI-related stocks — Vertiv Holdings, Applied Optoelectronics, and Innodata — are trading well below their 2026 highs despite strong operational growth. Vertiv's second-quarter sales rose 24% to $3.27 billion, with adjusted operating margin expanding 410 basis points to 22.6%. The company sells power and cooling solutions for AI infrastructure. Insider Monkey counted 112 hedge funds holding Vertiv in Q2, up from 96 in Q1. Applied Optoelectronics posted record revenue of $191.9 million, with 800G volume more than doubling from Q1. Management expects 800G and 1.6-terabit demand to exceed production capacity through mid-2027. However, the company reported a $22.8 million GAAP loss. Innodata's revenue grew 58% to $92.1 million, with adjusted EBITDA rising 92% to $25.4 million. The company provides data engineering and model-evaluation services for AI applications. Each stock faces distinct risks around timing, customer concentration, and operational execution.