4 Enterprise Data Jobs

You will be responsible for demonstrating thorough knowledge and a proven record of success in executing various functional and technical aspects of SAP Master Data Governance (MDG) projects following industry best practices. This includes Data Modelling, Process Modelling, UI Modelling, Business Validation Rules Modelling, Derivations, and Data Replication Framework (DRF) and Workflow creations and Maintenance. Your role will require a good understanding of the SAP MDG technical framework, including BADI, BAPI/RFC/FM, Workflows, BRF+, Enterprise Services, IDoc, Floorplan Manager, WebDynPro, Fiori, and MDG API framework. Knowledge of SAP data dictionary tables, views, relationships, and corresponding data architecture for ECC and S/4 HANA for various SAP master and transactional data entities is essential, including excellent functional knowledge for core master data objects like customer, vendor, and material. Hands-on experience in configuring customer, vendor, finance, and product/material master data in MDG is necessary, including data harmonization involving de-duplication, mass changes, and data replication involving Key/Value mapping, SOA Web services, ALE/Idoc. Effective communication with customers and partners to understand specific Enterprise Data needs is a key aspect of this role. You should possess excellent written and verbal communication skills with the ability to impart ideas in technical, business, and user-friendly language. Having an appetite to acquire new knowledge, adapt to, and contribute to fast innovation is important for success in this role. The ideal candidate will have a minimum of 5 years of experience in SAP Master Data Governance (MDG) with at least 2 full cycle implementations. Implementation experience of SAP MDG in key domains such as Customer, Supplier, Material, and Finance Master is required. Hands-on experience with SAP Fiori, SAP MDG mass processing, consolidation, central governance, Workflow, and BRF+ is essential. Experience in RDG is considered an added advantage for this role.,

You have over 15 years of senior data modeling experience, with proficiency in using the Erwin data modeling tool. If you also have experience with AWS and Redshift database models, it would be considered a plus. Your role would involve designing L2 Layer for a Large Data Transformation Program, requiring your expertise as a Lead Data Modeler and collaboration with senior stakeholders. Your knowledge should encompass relational databases, data architecture computer systems (including SQL), ER modeling, big data, enterprise data, and physical data models. Experience in handling large data sets is a key requirement, specifically within the banking sector. Additionally, familiarity with finance data and Anaplan would be advantageous. Proficiency in data modeling software like SAP PowerDesigner, Microsoft Visio, or erwin DataModeler is expected. Your excellent presentation, communication, and organizational skills will be vital, along with a keen attention to detail. You should be comfortable working in a fast-paced environment, delivering high-quality results under pressure. Joining Virtusa means becoming a part of a global team of 27,000 professionals who prioritize teamwork, quality of life, and both professional and personal development. The company values collaboration and provides opportunities to work on exciting projects with cutting-edge technologies. At Virtusa, your potential will be nurtured, and your innovative ideas will be encouraged to foster excellence.,

You should have a solid experience of 6 to 14 years in Data Modeling/ ER Modeling. As a candidate for this position, you should possess knowledge of relational databases and data architecture computer systems, including SQL. It is preferred that you have familiarity with or a bachelors degree in computer science, data science, information technology, or data modeling. In this role, you will be expected to have a good understanding of ER modeling, big data, enterprise data, and physical data models. Additionally, experience with data modeling software such as SAP PowerDesigner, Microsoft Visio, or Erwin Data Modeler would be beneficial. The job location is in Coimbatore, and there will be a walk-in interview scheduled on 12th April. If you meet the requirements and are passionate about data modeling and ER modeling, we encourage you to apply for this exciting opportunity.,

Job Title: Senior Machine Learning Engineer Location: Pune, India Department: Enterprise Data & Analytics Advanced Analytics Team Employment Type: Full-time About the Role: We are looking for a Senior Machine Learning Engineer to join our Advanced Analytics IT Product Team. The team is responsible for developing cutting-edge data and analytics products that empower business functions to make smarter, data-driven decisions. This role is ideal for an experienced and proactive ML engineer who enjoys solving complex problems, building scalable solutions, and working with cross-functional teams in a dynamic global environment. Responsibilities: Design, build, test, deploy, and maintain machine learning and AI solutions across business domains. Collaborate with data scientists, engineers, and product teams to deliver reliable, production-grade ML pipelines. Develop data models, algorithms, and integrate them into enterprise-grade applications. Ensure solutions are secure, compliant, and follow industry best practices. Continuously improve ML products based on real-world performance metrics and feedback. Participate in code reviews, solution design, and incident resolution. Document technical designs and contribute to internal knowledge sharing. Lead ML engineering practices, mentor junior team members, and support agile development activities such as sprint planning and retrospectives. Qualifications: Education & Experience: Master's degree in Computer Science, Machine Learning, Statistics, Physics, Mathematics, or a related field. 4–6 years of hands-on experience in machine learning, data science, or data engineering. Technical Skills: Strong experience with AWS services: S3, DynamoDB, CloudFormation, CDK, Route53, AppFlow. AWS certifications are a plus. Hands-on experience with Databricks : PySpark, MLFlow, Unity Catalog, orchestration workflows. Databricks certifications preferred. Proficient in Python , SQL , and DBT . Familiar with tools like GitHub/GitLab , Airflow , and Terraform . Solid understanding of enterprise data (structured, unstructured, transactional, metadata) and integrations with systems like SAP ERP, Salesforce, and product data platforms. Strong foundation in CI/CD, testing practices, and production-grade software development. Experience with infrastructure-as-code, version control, and deployment automation. Knowledge of data privacy, cybersecurity, and regulatory compliance. Serve as the technical expert for ML engineering within the team. Drive architecture and design improvements for scalability and efficiency. Lead quality assurance activities, conduct code reviews, and ensure adherence to development standards. Guide and mentor junior engineers and contribute to capability building. Take on additional responsibilities such as Scrum Master or task force lead when needed. Agile working methodology with tools such as Jira, Confluence, and draw.io. Global, multi-cultural team focused on transparency, collaboration, and continuous learning. Encouraged to be self-organized, courageous, and solutions-oriented.