11+ SAP MDG ( Master Data Governance) Jobs in Pune | SAP MDG ( Master Data Governance) Job openings in Pune
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Location: PAN India
- Expert in SAP master data/integration related experience
- Has participated in at least two large information transformation engagements
- Ability to work with and collaborate with all Teams and Individuals in the Business Teams and the SAP Teams toward developing a best practice data creation, maintenance, governance, quality, and efficiencies
Job Overview
We are looking for an experienced QA Professional with 5–10 years of experience specializing in Pega Testing. In this role, you will design, execute, and manage testing strategies for complex, large-scale enterprise applications built on the Pegaplatform. You will ensure the seamless performance, integration, and functionality of workflows and case management systems.
Key Responsibilities
• Strategy & Planning: Define, design, and implement comprehensive test strategies, test plans, and test cases specifically tailored for Pega BPM applications.
• Functional & Rule Validation: Validate Pega rulesets, case management flows, data pages, routing logic, declarative expressions, and access groups.
• Automation Leadership: Design and maintain automated test frameworks for PegaUI and API layers using tools like Selenium, Cucumber, Tosca, or Pega Autotest.
• Defect & Defect Triaging: Track, analyze, and report defects using Jira, collaborating closely with Pega developers and Business Analysts to resolve complex issues.
• Regression & Integration Testing: Execute rigorous regression testing for Pegaplatform upgrades and test end-to-end integration with third-party APIs and databases.
• Mentorship & Quality Control: Lead a team of QA engineers, conduct test case reviews, and enforce industry-standard QA best practices.
Required Skills & Qualifications
• Pega Expertise: 4+ years of dedicated hands-on experience in testing Pega PRPC applications (Pega 8.x experience preferred).
• Certifications: Pega Certified Business Architect (PCBA), Certified System Architect (CSA), or Certified Pega QA is highly desirable.
• Testing Automation: Proven experience using automation tools (Selenium WebDriver, Tosca, Cucumber, or SoapUI/Postman for API testing) within a Pegaecosystem.
• Technical Proficiency: Strong understanding of SQL, XML, JSON, and Agile/Scrum methodologies.
• Analytical Skills: Exceptional ability to translate complex business requirements and user stories into structured test scenarios.
Develop, record and maintain cutting edge web-based J2EE, JAVA applications.
Experience on Java Spring Framework is required.
Experience on Hibernate is required.
Experience on REST Services is required.
Object-oriented programming, design, and patterns.
Strong proficiency with:Relational database concepts and data modeling.
Good communication skills to interact with customer, understand their requirement, effectively record the requirement and implement the same.
- TIDB (Good to have)
- Kubernetes( Must to have)
- MySQL(Must to have)
- Maria DB(Must to have)
- Looking candidate who has more exposure into Reliability over maintenance
Job Title: Sales Manager – Building Materials
Location: Ahmedabad, Pune, Indore, Bangalore, Ankleshwar, Bharuch, Dahej
Experience Required: Minimum 4+ years in Building Material Sales
Salary: 4-8 LPA
About the Role
We are seeking a result-driven Area Sales Manager with proven experience in the Building Material industry (Trading segment). The candidate should have strong relationships with architects, builders, interior design firms, and contractors to drive business growth across assigned territories.
Key Responsibilities
· Develop and execute sales strategies to achieve revenue targets in assigned regions.
· Build and maintain strong relationships with architects, builders, interior firms, and channel partners.
· Identify and onboard new clients, projects, and trading opportunities in the building materials sector.
· Conduct regular client meetings, presentations, and product demonstrations.
· Monitor market trends, competitor activities, and suggest business strategies.
· Manage distributor and dealer networks for smooth supply chain and timely order fulfillment.
· Collaborate with internal teams for pricing, credit management, and customer service.
· Ensure regular reporting on sales performance, forecasts, and key market insights.
Key Requirements
· Graduate / MBA with minimum 4+ years of experience in Building Material Sales (Trading segment).
· Strong exposure to working with architects, builders, interior firms, and contractors.
· Excellent communication, negotiation, and relationship management skills.
· Proven track record of meeting and exceeding sales targets.
· Willingness to travel extensively within assigned locations.
Preferred Candidate Profile
· Previous experience in tiles, sanitaryware, paints, plywood, hardware, or related building materials.
· Strong local market knowledge in Delhi NCR and Ludhiana regions.
· Ability to handle multiple accounts and drive both B2B and B2C sales.
Mail updated resume with current salary-
Email: etalenthire[at]gmail[dot]com
Satish: 88O 27 49 743
Role - MLops Engineer
Location - Pune, Gurgaon, Noida, Bhopal, Bangalore
Mode - Hybrid
Role Overview
We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.
Key Responsibilities
- Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
- Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
- Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
- Automate ML workflows using CI/CD best practices and tools.
- Ensure model reproducibility, governance, and performance tracking.
- Monitor deployed models for data drift, model decay, and performance metrics.
- Implement robust versioning and model registry systems.
- Apply security, performance, and compliance best practices across ML systems.
- Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.
Required Skills & Qualifications
- 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
- Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
- Working knowledge of AWS DataZone (preferred).
- Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
- Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
- Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
- Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
- Solid understanding of DevOps and cloud-native infrastructure practices.
- Excellent problem-solving skills and the ability to work collaboratively across teams.
- The role involves development using C/C++ and related technologies on Windows and Linux platforms. You will be a part of the core product team developing the product. It will involve participation in requirements analysis, impact analysis, design, coding, review, testing and preparing test cases.
Keyskills Required:-
● You are expected to have expertise in C/C++ and good programming skills.
● A good aptitude and attitude are a must.
● Excellent debugging and troubleshooting skills with experience of various tools like Sysiternals Tools, debuggers / windbg, API Monitors etc is preferred.
- Public clouds, such as AWS, Azure, or Google Cloud Platform
- Automation technologies, such as Kubernetes or Jenkins
- Configuration management tools, such as Puppet or Chef
- Scripting languages, such as Python or Ruby
• Excellent programming skills in C, C++11
• Strong working experience in developing application on Linux.
• Experience of working with multithreading, IPC mechanism, queuing is must.
• Effective requirement analysis and effort estimation skills.
• In-depth knowledge of Object-Oriented Programming.
• In-depth understanding of docker-containers
• Understanding of container orchestration tools (e.g. Kubernetes, docker swarm)
• Experience using MQTT, SSL, boost, etc.
• Preliminary Python hands-on experience
• Unit Testing and Test-Driven Development
• Experience of working with Interfacing or implementing any protocol (BACnet, Modbus, etc.) will be an
added advantage
• Knowledge of developing applications for data collection, real time monitoring systems will be an added
advantage
• Experienced with all phases of project in development, testing and deployment and management of
enterprise solutions.
• Aware of Agile Methodologies, SCRUM, CI/CD methods
• Coordinate application implementations and follow-up on client problems





