Role & responsibilities
Data Cleansing & Normalization: Cleanse and standardize technical data for pumps and valves (e.g., flow rate, pressure rating, material, size, sealing type) using Python/SQL, reducing manual errors.
AI-Assisted Data Management: Implement AI models to detect outliers, missing values, and identical rows within the pump/valve inventory datasets.
Attribute Standardization: Ensure alignment with ISO/DIN/API standards for valve and pump classification.
Data Quality Assurance: Create and maintain validation rules in ERP systems (e.g., SAP MM, Oracle) to ensure high-quality data input for procurement and maintenance.
Technical Documentation Review: Read and interpret pump/valve engineering drawings (PI&D;) and datasheets to fill in missing technical data.
Collaboration: Work with engineering, procurement, and warehouse teams to validate cleaned data and resolve technical discrepancies.

Preferred candidate profile
Education: Bachelors degree in Mechanical Engineering,



Industrial Engineering, or related field.
Experience: 25 years of experience in data cleansing, material master management, or technical procurement for pumps, valves, or static equipment.
Technical Skills:
Familiarity with ERP systems (SAP MM preferred).
Solid knowledge of industrial valve types, pump hydraulics, and materials of construction.
Proficiency in SQL and Python (Pandas, NumPy) for data manipulation.
Experience with AI-driven tools or automated cleaning scripts.
Soft Skills: Robust attention to detail, problem-solving, and ability to handle large datasets.

Preferred Qualifications
Experience with Material Master Data in a manufacturing workplace.
Knowledge of mastering algorithms and data stewardship.
Familiarity with Data Quality tools (e.g., Talend, Informatica).

📌 Master Data Management Bengaluru (India)
🏢 Tech Mahindra
📍 India