Mega Walk-In Drive Tcs Pune is Hiring For Master Data Management

Mega Walk-In Drive TCS Pune is Hiring for Master Data Management

Job Title: Master Data Management

Date : November 30th 2025

Timings : 10:00 AM 12:30 PM

Venue : Sahyadri Park, Plot No. 2 & 3, Phase 3, Hinjewadi Rajiv Gandhi Infotech Park, Pune - 411057, India

Shift: Should be comfortable with Night Shift & 24x7 Rotational Support. Work from Office only

Experience Required: 1-3 years

Employment Type: Full-Time

JD : Kindly refer to the end of the post

Mandatory Requirements (How to generate your EPCN)

EPCN number is mandatory for eligibility of the interview

• Step 1: Visit https://ibegin.tcs.com/iBegin/

• Step 2: Click to login

• Step 3: Click New user (Register with us)

• Step 4: Select "BPO" in areas of interest and complete the registration. (Fill the details)

• Step 5: Once completed, your TCS no. will be generated which starts from EP2025XXXX.

• Step 6: You will receive the EP number on your personal e-mail ID.

Eligibility:

• Minimum 15 years of regular, full-time education (10 + 2 + 3)

• Should be flexible with night shifts & rotation shifts

Overview:

The Processor HRM is a resource with required level of expertise, responsible to handle employee data updation (Hire, Job Data Changes / Personal Data Changes / Termination etc.) per standard operating procedures and 100% accuracy. The resource is responsible for workflow management for resolving employee/ customer issues. He/ she works with the respective managers to identify process improvements by identifying issues, process delays, and quality problems and display ownership in executing corresponding solutions.

Main Skills :

• "HR Operations expertise,

• SAP & Excel Knowledge,

• Communication, Comprehending and articulation skills"

Formal Education & Certification

• Bachelors degree in any discipline

• SAP knowledge

• Advance computer knowledge required (MS- Office Applications)

• Proven ability to adapt to new tools by applying logical approach

• Working Experience of 1.5 – 3 years in Employee Data Management Process.

• Typing speed of 30 wpm with 100% accuracy

Knowledge & Experience

• Excellent understanding of core process step and impact thereof

• Excellent process knowledge of Employee Data Management.

• Ability to properly research, identify, and document a system defect

• Good understanding of various Systems/ applications being used to process

• Ability to understand:-

• the client administrative environment

• the various Systems being used to process a participant issue

• Workflow Management

• Basic understanding of MIS

• Good understanding of Service level agreements.

Behavioral Attributes

• Good analytical, problem-solving and decision-making skills.

• Good interpersonal, verbal and written communication skills.

• Logical and efficient, with keen attention to detail.

• Strong customer service orientation.

• Ability to work in a team-oriented, collaborative environment.

• Effective Troubleshooting skills.

• Learning agility – Aptitude to venture in to unknown territories.

• Good researching skills

• Highly self -motivated, directed and should be high on initiative.

• Ability to effectively prioritize and execute tasks.

Core Role Responsibilities

• Manage company Structure, New Hire/Rehire, Separations, F&F Settlement, Payroll updates, etc.

• Review and Approve Personal Information Changes. Contact management if any new hire is submitted with incorrect information or if anything is missing.

• Supports answering helpdesk calls by making appropriate research as per standard procedure.

• Updates information in the WFM scheduling system, performs analysis to determine impact to available resources for the day.

• Runs Daily Pending PA report that is provided to the HR Ops Team.

• Complete Mass uploads for data changes: Terms, Seniority Dates, and Minimum Wage.

• Performs Workforce Management reporting, analysis, recommendations, and administrative tasks related to staffing and scheduling functions.

• Conducts weekly audits of EE Data between all systems. Partners w/ IT on data discrepancies.