
Our client is a producer of superior quality products. Our client is the largest single location manufacturing facility in India with certifications of ISO 9001, 14001, OHSAS 18001 along with other product specific certifications.
What you will do:
- Interacting with channel partners and their major end customers to solicit inputs for devising a product & price strategy to meet end user requirements
- Communicating actively with dealers & customers to help foster a team environment
- Building strong relationship with dealers & customers
- Reviewing performance of channel partners — off take and order flow for ensuring achievement of monthly targets
- Implementing the sales strategy for the sale of product(s) in a specified area to increase turnover
- Developing and implementing sales & marketing plans to drive sales and profit
- Meeting and exceeding sales targets for assigned territories
- Monitoring achievement of collection targets to reduce exposure to outstanding receivables
- Monitoring competitor activities in terms of their MOP, products, market share & production capacity for respective areas
- Identifying and acquiring new customers, as well as upselling to existing customer base by regularly visiting dealers/customers
- Coordinating with QSC, CSC, production & dispatch teams for meeting customer order requirements within agreed timelines
- Ensuring timely payment and debt free transactions along with reconciliation of accounts
Desired Candidate Profile
- A Master's degree in business administration (MBA), Marketing
- Minimum 5-6 yrs of Sales experience with understanding of paper industry
- Excellent verbal and written communication skills
- Willingness to travel regularly to different markets
- Proficiency with Microsoft office
- Strong analytical skills and ability to work well with little supervision

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Key Responsibilities:
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Role: SAP Quality Management Consultant (QM/WM)
Location: Bangalore, India (Hybrid)
Experience: 7-10 years total (5-6+ years relevant SAP QM experience)
Employment Type: Full-time / Contract
Job Summary
We are seeking a Senior SAP QM Consultant with deep expertise in SAP Quality Management module configuration, master data setup, and integration with Warehouse Management, Procurement, and Plant Maintenance. The ideal candidate will drive QM process optimization, FIORI enablement, and documentation for enterprise-wide quality assurance implementations.
Key Responsibilities
- Configure and customize SAP QM master data including Inspection Plan setup, characteristics, and inspection methods
- Manage end-to-end QM processes: Inspection lots creation, result recording, defect management, and usage decisions
- Implement Quality Certificates and Quality Notifications workflows
- Enable and customize FIORI apps for QM functionalities (inspection, notifications, certificates)
- Design and document Process Design Documents (PDDs) for QM configurations and integrations
- Integrate QM module with Procurement (MM) and Plant Maintenance (PM) processes
- Conduct Sample Management configuration and optimization (preferred)
- Support Warehouse Management (WM) integration for quality-controlled stock movements
- Perform unit testing, integration testing, and user acceptance testing for QM configurations
- Provide knowledge transfer and training to business users and support teams
Mandatory Skills
- QM Master Data: Inspection Plan setup& configuration
- QM Core Processes: Inspection lots, result recording, defects, usage decisions
- Quality Documents: Quality Certificates&Quality Notifications
- Integration: Procurement (MM)+Plant Maintenance (PM)
- FIORI Enablement: QM-specific FIORI appsactivation & customization
Technical Skills:
✅ SAP QM Module (5-6+ years hands-on)
✅ SAP S/4HANA QM (preferred)
✅ Inspection Planning & Master Data
✅ FIORI Apps Configuration (QM domain)
✅ SAP MM/PM/WM Integration
✅ Process Design Documentation (PDD)
✅ Sample Management (advantageous)
✅ SAP ECC 6.0 / S/4HANA experience
✅ ABAP debugging (basic)
Qualifications
- Bachelor's degree in Engineering, Computer Science, or related field
- SAP QM Certification (preferred)
- Proven experience in 2+ full lifecycle SAP implementations
- Excellent documentation skills (PDD, configuration guides)
- Strong verbal/written communication for stakeholder interaction
What We Offer
- Work on enterprise-scale SAP transformations
- Hybrid work model in Bangalore
- Opportunity to work with Fortune 500 clients
- Career growth in SAP QM consulting
- Competitive compensation + benefits
Data Analysis visual tools (PowerBI, Streamlit, Dash, etc)
SQL, Python Scripting is mandatory
Cloud knowledge (AWS, etc)
Experience in BFSI domain is must.
Role Overview:
We are seeking a Senior Software Engineer (SSE) with strong expertise in Kafka, Python, and Azure Databricks to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.
The ideal candidate will have a solid background in real-time streaming, big data processing, and cloud platforms, along with strong leadership and stakeholder engagement capabilities.
Key Responsibilities:
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- Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
- Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
- Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
- Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions.
- Mentor junior engineers, perform code reviews, and promote engineering best practices.
- Stay current with evolving technologies in cloud, big data, and healthcare data standards.
- Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).
Required Skills & Qualifications:
- 4+ years of hands-on experience in data engineering roles.
- Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
- Proficient in Python for data processing and automation.
- Experience with Azure Databricks (or readiness to ramp up quickly).
- Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
- Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
- Familiarity with containerization tools like Docker and orchestration using Kubernetes.
- Exposure to CI/CD pipelines for data applications.
- Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.
- Excellent problem-solving abilities and a proactive mindset.
- Strong communication and interpersonal skills to work in cross-functional teams.
Are you a seasoned React Native Developer ready to make a significant impact in the world of travel and blockchain technology?
YatriPay, a leading travel-based blockchain company, is seeking a highly skilled Senior React Native Developer to help us revolutionize the travel industry. In this role, you'll be a key player in creating innovative mobile solutions that enhance the travel experience for users around the globe. If you're a dedicated professional with a passion for travel and tech, we welcome you to join our team and be part of our mission to redefine the future of travel transactions. Your expertise will be the driving force behind our success.
Data Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
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3+ years of experience solving complex business problems using machine
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Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
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- Strong command of Android Java. Exposure towards Android SDK
- Strong knowledge of the various packages on the Android App development stack layouts, intents, widgets, content providers, touch handling, drawing, location services, media interfaces, network, storage, security/cryptography, SQLite, etc.
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- Managing development cycle using SVN/Git or any other appropriate Version control Software.
- Enhancing existing features.
- Checking for cross-browser compatibility.
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- Meeting both technical and client needs.
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- Experience with design/development of RESTful APIs.
- Strong understanding of the latest MVC frameworks and UI toolkits.
- Strong understanding of HTML5, CSS3, Javascript, AJAX and JSON.
- Working on any of the following Client Side MVC/MVVM frameworks: AngularJS, BackboneJS,KnockoutJS, JSON, JavaScript, Advance JavaScript, UI and UX design, Bootstrap, Ionic, and React.
- Good analytical and programming skills.
- Proactive thinking and a good team player.
- Working experience with micro services will be a given advantage.












