Lead I - Enterprise Solutions

UST; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

UST in Bengaluru seeks a Sr Software Engineer to design, implement, and maintain IBM InfoSphere MDM solutions across environments, install/configure virtual MDM setups, and optimize data processing jobs.

You will lead teams, mentor junior developers, and collaborate with stakeholders on data governance and MDM strategy, building REST/SOAP APIs with Java and MadAPI.

Qualifications

• 6+ years of Master Data Management (Virtual MDM) experience with IBM InfoSphere MDM.
• Hands-on experience with IBM InfoSphere MDM installation, configuration, and maintenance (virtual MDM).
• Experience designing/implementing matching algorithms, survivorship rules, and data quality frameworks.
• Experience running and supporting IXM/BXM integration jobs.
• Experience using MDM utilities (TXM, memcompare) for validation and troubleshooting.
• Experience building and integrating MDM REST/SOAP APIs using Java and MadAPI.
• Experience with performance optimization and tuning MDM data processing workflows.
• Team leadership and mentoring experience.

Responsibilities

• Design, implement, and maintain scalable IBM InfoSphere MDM solutions across multiple environments.
• Install, configure, and support IBM InfoSphere virtual MDM environments (ongoing maintenance and upgrades).
• Execute, monitor, and troubleshoot batch and real-time data processing jobs.
• Configure and run IXM/BXM jobs for data integration workflows.
• Perform data validation, data quality checks, and root-cause troubleshooting using MDM utilities (TXM, memcompare).
• Develop and integrate MDM services/APIs (RESTful and SOAP) using Java and MadAPI.
• Collaborate with business and technical stakeholders to define data governance policies and overall MDM strategy.
• Lead teams and mentor junior developers.

Skills

Leadership

Mentoring

Stakeholder management

Data governance

Data modeling

Education

B.Tech / B.E. / MCA

Tools

IBM InfoSphere MDM

TXM

memcompare

REST/SOAP APIs

MadAPI

IXM/BXM

Job description

Primary Skills: IBM Webshere , Java Fullstack

Sr Software Engineer JOB RESPONSIBILITY

• Design, implement, and maintain scalable IBM InfoSphere MDM solutions across multiple environments.
• Install, configure, and support IBM InfoSphere virtual MDM environments (ongoing maintenance and upgrades).
• Execute, monitor, and troubleshoot batch and real-time data processing jobs.
• Configure and run IXM/BXM jobs for data integration workflows.
• Perform data validation, data quality checks, and root-cause troubleshooting using MDM utilities (TXM, memcompare).
• Develop and integrate MDM services/APIs (RESTful and SOAP) using Java and MadAPI.
• Collaborate with business and technical stakeholders to define data governance policies and overall MDM strategy.
• Lead teams and mentor junior developers.

QUALIFICATION B. Tech /B.E. /MCA EXPERIENCE

• 6+ years of Master Data Management (Virtual MDM) experience with IBM InfoSphere MDM.
• Hands-on experience with IBM InfoSphere MDM installation, configuration, and maintenance (virtual MDM).>
• Experience designing/implementing matching algorithms, survivorship rules, and data quality frameworks.
• Experience running and supporting IXM/BXM integration jobs.
• Experience using MDM utilities (TXM, memcompare) for validation and troubleshooting.
• Experience building and integrating MDM REST/SOAP APIs using Java and MadAPI.
• Experience with performance optimization and tuning MDM data processing workflows.
• Team leadership and mentoring experience.

SKILLS AND COMPETENCIES

• IBM InfoSphere MDM (virtual MDM) administration and support (install/configure/maintain).
• MDM configuration: matching algorithms, survivorship rules, and data quality frameworks.
• Data integration and job orchestration: IXM/BXM.
• Validation and troubleshooting tools: TXM, memcompare.
• API/service development: RESTful SOAP services; Java; MadAPI.
• Data modeling, data governance, and enterprise data architecture.
• Performance tuning and workflow optimization for large-scale data processing.
• Leadership, mentoring, stakeholder management, and collaboration.