Sr. Software Engineer

Job Summary:

We are seeking a skilled and motivated Profisee MDM professional to join our data management team.

The ideal candidate will have hands-on experience with Profisee MDM and a strong understanding of master data management principles, data governance, and data integration.

You will play a key role in designing, implementing, and maintaining MDM solutions that support business operations and data quality initiatives.

Key Responsibilities:

• Design and configure Profisee MDM solutions including data models, business rules, workflows, and user interfaces.
• Collaborate with business and IT stakeholders to gather requirements and define master data domains.
• Implement data quality rules and validation processes to ensure data accuracy and consistency.
• Integrate MDM solutions with enterprise systems using ETL tools and APIs.
• Monitor and maintain MDM performance, troubleshoot issues, and optimize configurations.
• Support data governance initiatives and ensure compliance with data standards and policies.
• Provide training and support to end-users and contribute to documentation and best practices.

Required Skills:

• 4-6 years of experience in Master Data Management, with at least 23 years of hands-on experience in Profisee MDM.
• Strong understanding of data modeling, data governance, and data quality principles.
• Proficiency in SQL and experience with ETL tools and data integration techniques.
• Familiarity with enterprise data architecture and systems (e.g., ERP, CRM).
• Excellent problem-solving, communication, and collaboration skills.

Required Technical/ Functional CompetenciesDomain/ Industry Knowledge:

• Basic knowledge of customer's business processes- relevant technology platform or product.
• Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

• Working knowledge of requirement management processes and requirement analysis processes, tools and methodologies.
• Able to analyse the impact of change requested / enhancement / defect fix and identify dependencies or interrelationships among requirements and transition requirements for the engagement.

Product/ Technology Knowledge:

• Working knowledge of technology product/platform standards and specifications.
• Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
• Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

• Basic knowledge of architecture Industry tools & frameworks
• Able to analyse available tools and frameworks for review by the SME and plan for tool configurations and development.

Architecture concepts and principles:

• Basic knowledge of architectural elements, SDLC, methodologies.
• Able to apply various architectural constructs in the projects and identify various architectural patterns and implement.

Analytics Solution Design:

• High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application.

Tools & Platform Knowledge:

• Familiar with wide range of mainstream commercial and open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies

Accountability:

• Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

• Participates in team activities and reaches out to others in team to achieve common goals.

Agility:

• Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.

Customer Focus:

• Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time.

Communication:

• Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

• Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.