103 Validation Rules Jobs - Page 5

What you’ll do We are looking for experienced Knowledge Graph developers who have the following set of technical skillsets and experience. Undertake complete ownership in accomplishing activities and assigned responsibilities across all phases of project lifecycle to solve business problems across one or more client engagements. Apply appropriate development methodologies (e.g.agile, waterfall) and best practices (e.g.mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion of assignments. Collaborate with other team members to leverage expertise and ensure seamless transitions; Exhibit flexibility in undertaking new and challenging problems and demonstrate excellent task management. Assist in creating project outputs such as business case development, solution vision and design, user requirements, prototypes, and technical architecture (if needed), test cases, and operations management. Bring transparency in driving assigned tasks to completion and report accurate status. Bring Consulting mindset in problem solving, innovation by leveraging technical and business knowledge/ expertise and collaborate across other teams. Assist senior team members, delivery leads in project management responsibilities. Build complex solutions using Programing languages, ETL service platform, etc. What you’ll bring Bachelor’s or master’s degree in computer science, Engineering, or a related field. 4+ years of professional experience in Knowledge Graph development in Neo4j or AWS Neptune or Anzo knowledge graph Database. 3+ years of experience in RDF ontologies, Data modelling & ontology development Strong expertise in python, pyspark, SQL Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Project management and task planning experience, ensuring smooth execution of deliverables and timelines. Strong communication and interpersonal skills to collaborate with both technical and non-technical teams. Experience with automation testing Performance OptimizationKnowledge of techniques to optimize knowledge graph operations like data inserts. Data ModelingProficiency in designing effective data models within Knowledge Graph, including relationships between tables and optimizing data for reporting. Motivation and willingness to learn new tools and technologies as per the team’s requirements. Additional Skills: Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations Experience in pharma or life sciences dataFamiliarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus. Experience in manufacturing data is a plus Capability to simplify complex concepts into easily understandable frameworks and presentations Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects Travel to other offices as required to collaborate with clients and internal project teams

About The Role Salesforce Developer Roles & Responsibilities Qualification: B Tech/BE/MTech/MCA/MSc or related engineering discipline from a reputed institute with consistently 65%+ academic record from Xth onwards. Experience 2-5+ Year of Hands-on experience Work from Office Base location- Goregaon Domain: BFSI/NBFC specially from lending platform such as Trade Finance, SCF, OS, LMS Joining: Immediate / within-in 15 days SF Certification : Salesforce Certified Advanced Administrator Salesforce Certified Platform App Builder Salesforce Certified Platform Developer I Salesforce Certified Platform Developer II Salesforce Certified Sales Cloud Consultant Salesforce Certified Service Cloud Consultant Salesforce Certified Architecture Requirements2 Profile (Individual Contributors) Mid-level developerIntegrations, composition, encapsulation, and invocable methods (2 4 years"™ experience). Senior developerSolution design, DevOps, advancing testing strategies and most importantly, being fully engaged with the rest of the team (5+ years"™ experience) . Roles and Responsibilities Collaborating with the Salesforce Administrator to validate business requirements and any considerations (security, scalability, limits) Hands-on on Database design, Governor limits, Security considerations, Implicit Bulkification,Email Templates,Approval Processes,Workflow Rules Developing Flows, Apex Classes, and Triggers, as well as test classes for all custom development andDevOps. Custom user interface development, including Visualforce pages/Lightning pages, Aura Components and Lightning Web Components Use Salesforce APIs to integrate with other systems used in the organization Adhere to Salesforce best practices, maintain code documentation, and write / maintain test classes for all custom development. Aware of Salesforce Einstein and AI

Job Title SAP Master Data Governance (MDG) Lead Department Enterprise Data Management / IT SAP Center of Excellence Reports To Head of SAP Solutions / Chief Data Officer (CDO) Location Hyderabad Experience 12+ years Role Summary The SAP MDG Lead will be responsible for leading the design, implementation, and governance of master data across SAP systems. This role ensures high-quality, consistent, and reliable data aligned with business and regulatory requirements. The MDG Lead will play a pivotal role in defining data standards, establishing governance processes, and driving SAP MDG best practices across the enterprise. Key Responsibilities Lead the SAP MDG strategy, implementation, and operational governance. Define and enforce master data policies, standards, and procedures across domains (Customer, Vendor, Material, Finance, etc.). Manage data governance frameworks and drive data quality initiatives within SAP MDG. Collaborate with business units to define master data requirements and ownership models. Configure and maintain SAP MDG components and data models. Oversee the integration of SAP MDG with other SAP and non-SAP systems. Monitor and manage workflows, validations, and approvals in the MDG system. Train data stewards, users, and stakeholders on MDG usage and best practices. Support audits and compliance initiatives by ensuring regulatory alignment (e.g., SOX, GDPR). Continuously improve master data processes and tools based on business needs. Required Qualifications & Skills Bachelors/Masters degree in Computer Science, Information Systems, or related field. 12+ years of experience in SAP with 5+ years in SAP MDG implementation and support. In-depth understanding of SAP ECC/S4HANA and MDG architecture, data domains, and data models. Strong experience with data quality, data lifecycle, validation rules, and approval workflows. Hands-on configuration experience with SAP MDG (Data Models, UI Modeling, BRF+, DRF, and NWBC/Fiori). Solid understanding of master data integration across business processes and modules (MM, SD, FI, etc.). Experience with SAP Information Steward, Data Services, or other data governance tools is a plus. Soft Skills Excellent communication and cross-functional collaboration skills Strong analytical and problem-solving ability Leadership and stakeholder management capabilities Detail-oriented with a focus on data accuracy and compliance Change management and training capabilities to drive adoption Preferred Qualifications SAP MDG Certification Experience with S/4HANA MDG Familiarity with Agile/DevOps methodologies Knowledge of data governance frameworks like DAMA-DMBOK Experience in regulated industries such as Pharma, BFSI, or Manufacturing Key Relationships Business Process Owners and Functional Leads SAP Technical and Functional Consultants Data Stewards and Master Data Analysts Compliance, Audit, and Risk Management Teams Enterprise Architects and Integration Teams Role Dimensions Strategic ownership of enterprise master data governance framework Operational oversight of MDG solution and associated business processes Leadership of cross-functional data governance initiatives Advisory and implementation responsibility for SAP MDG rollouts across geographies Success Measures (KPIs) % improvement in master data quality metrics (accuracy, completeness, timeliness) % reduction in data duplication or inconsistencies Time to onboard and activate new master data entries Adoption rate of SAP MDG tools across business units Compliance rate with internal and external data standards Competency Framework Alignment Technical Expertise Deep SAP MDG and data governance knowledge Leadership Lead cross-functional teams and governance initiatives Strategic Thinking Align master data strategies with business goals Execution Focus Deliver scalable and compliant MDG solutions Collaboration Build consensus and drive data ownership across functions