
Role: Data Engineer
Company: PayU
Location: Bangalore/ Mumbai
Experience : 2-5 yrs
About Company:
PayU is the payments and fintech business of Prosus, a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities.
The leading online payment service provider in 36 countries, PayU is dedicated to creating a fast, simple and efficient payment process for merchants and buyers. Focused on empowering people through financial services and creating a world without financial borders where everyone can prosper, PayU is one of the biggest investors in the fintech space globally, with investments totalling $700 million- to date. PayU also specializes in credit products and services for emerging markets across the globe. We are dedicated to removing risks to merchants, allowing consumers to use credit in ways that suit them and enabling a greater number of global citizens to access credit services.
Our local operations in Asia, Central and Eastern Europe, Latin America, the Middle East, Africa and South East Asia enable us to combine the expertise of high growth companies with our own unique local knowledge and technology to ensure that our customers have access to the best financial services.
India is the biggest market for PayU globally and the company has already invested $400 million in this region in last 4 years. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience. We are going to do this through 3 mechanisms: build, co-build/partner; select strategic investments.
PayU supports over 350,000+ merchants and millions of consumers making payments online with over 250 payment methods and 1,800+ payment specialists. The markets in which PayU operates represent a potential consumer base of nearly 2.3 billion people and a huge growth potential for merchants.
Job responsibilities:
- Design infrastructure for data, especially for but not limited to consumption in machine learning applications
- Define database architecture needed to combine and link data, and ensure integrity across different sources
- Ensure performance of data systems for machine learning to customer-facing web and mobile applications using cutting-edge open source frameworks, to highly available RESTful services, to back-end Java based systems
- Work with large, fast, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed
- Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
- Work closely with Data Engineers, ML Engineers and SREs to gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions
Requirements to be successful in this role:
- Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, statistics, data visualisation, Data Modelling and Informatica.
- Strong experience with scalable compute solutions such as in Kafka, Snowflake
- Strong experience with workflow management libraries and tools such as Airflow, AWS Step Functions etc.
- Strong experience with data engineering practices (i.e. data ingestion pipelines and ETL)
- A good understanding of machine learning methods, algorithms, pipelines, testing practices and frameworks
- Preferred) MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI)
- Experience with designing and implementing tools that support sharing of data, code, practices across organizations at scale

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Job Summary
We are seeking an experienced Java + Kafka Developer to design, develop, and maintain high-performance, event-driven applications. The ideal candidate will have strong backend development skills in Java and hands-on experience with Apache Kafka for building scalable, real-time data processing systems.
Key Responsibilities
- Design and develop event-driven microservices using Java and Apache Kafka
- Build and maintain Kafka producers, consumers, topics, and streams
- Implement message processing, retries, error handling, and idempotency
- Develop and integrate RESTful APIs
- Ensure high availability, scalability, and performance of Kafka-based systems
- Monitor, troubleshoot, and optimize Kafka and application performance
- Collaborate with architects, DevOps, and QA teams
- Participate in code reviews and follow best practices
- Contribute to system design and technical discussions
Required Skills
- 6+ years of experience in Java backend development
- Strong hands-on experience with Apache Kafka
- Experience with event-driven and streaming architectures
- Solid understanding of microservices architecture
- Experience with REST APIs
- Good knowledge of multithreading, concurrency, and JVM concepts
- Familiarity with SQL / NoSQL databases
- Strong problem-solving and debugging skills
Job Description
Role: Java Developer
Location: PAN India
Experience:4+ Years
Required Skills -
- 3+ years Java development experience
- Spring Boot framework expertise (MANDATORY)
- Microservices architecture design & implementation (MANDATORY)
- Hibernate/JPA for database operations (MANDATORY)
- RESTful API development (MANDATORY)
- Database design and optimization (MANDATORY)
- Container technologies (Docker/Kubernetes)
- Cloud platforms experience (AWS/Azure)
- CI/CD pipeline implementation
- Code review and quality assurance
- Problem-solving and debugging skills
- Agile/Scrum methodology
- Version control systems (Git)
What You’ll Do:
As a Sr. Data Scientist, you will work closely across DeepIntent Data Science teams located in New York, India, and Bosnia. The role will focus on building predictive models, implementing data-driven solutions to maximize ad effectiveness. You will also lead efforts in generating analyses and insights related to the measurement of campaign outcomes, Rx, patient journey, and supporting the evolution of the DeepIntent product suite. Activities in this position include developing and deploying models in production, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.
- Explore ways to create better predictive models.
- Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights.
- Explore ways of using inference, statistical, and machine learning techniques to improve the performance of existing algorithms and decision heuristics.
- Design and deploy new iterations of production-level code.
- Contribute posts to our upcoming technical blog.
Who You Are:
- Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, or Data Science.
- 5+ years of working experience as a Data Scientist or Researcher in digital marketing, consumer advertisement, telecom, or other areas requiring customer-level predictive analytics.
- Advanced proficiency in performing statistical analysis in Python, including relevant libraries, is required.
- Experience working with data processing, transformation and building model pipelines using tools such as Spark, Airflow, and Docker.
- You have an understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications).
- You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference…).
- You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing.
- You can write production level code, work with Git repositories.
- Active Kaggle participant.
- Working experience with SQL.
- Familiar with medical and healthcare data (medical claims, Rx, preferred).
- Conversant with cloud technologies such as AWS or Google Cloud.
CRMIT Solutions is a leading CRM Solutions Provider specializing in digital transformation and decision intelligence solutions, all powered by Customer360++ (a proprietary AI and decision science framework). The flagship Application Success Value Plan (ASVP) is a comprehensive success plan that leverages decision science techniques and lets customers choose from the ASVP Improve, ASVP Innovate and ASVP Secure programs.
Job Type: Full-time
Location: Bengaluru
Job Description: We are seeking an experienced MuleSoft Technical Architect to grow our MuleSoft practice. The successful candidate will be responsible for overseeing the design, development, and delivery of MuleSoft solutions, ensuring alignment with client requirements and business goals. The Technical Architect will play a pivotal role in driving MuleSoft sales, managing a team of skilled professionals, and ensuring successful project delivery.
Key Responsibilities:
Integration Architecture & Design:
- Lead the architecture, design, and development of integration solutions using MuleSoft Anypoint Platform.
- Design and implement APIs, web services, and microservices to support seamless data flow across platforms.
- Develop integration solutions that align with industry best practices and ensure scalability, security, and performance. MuleSoft Expertise:
- Work extensively with MuleSoft ESB, RAML, MEL, DataWeave, Anypoint MQ, and Anypoint Studio.
- Utilize GitHub Actions for DevOps processes to enable continuous integration and deployment (CI/CD).
Solution Design & Delivery:
- Serve as a Solution Design Specialist with expertise in designing robust and scalable integration solutions.
- Plan, design, and implement APIs, web services, and data integration solutions in line with API-led connectivity principles.
Technical Leadership & Best Practices:
- Provide technical leadership in driving best practices, ensuring proper use of design patterns, OOPs principles, and coding standards.
- Establish and promote industry best practices in integration design and development. Stakeholder Management:
- Collaborate with customer stakeholders to gather requirements and translate business needs into technical solutions.
- Act as a trusted advisor, guiding clients on integration strategies and platform architecture. Agile Delivery:
- Apply Agile (Scrum) methodologies for project execution and ensure timely delivery of integration solutions.
Required Skills:
• 12-15 years of industry experience with at least 10 years in integration technologies.
• Minimum 5+ years of hands-on experience with MuleSoft Anypoint Platform.
• Strong background in middleware platforms such as WebMethods and MuleSoft.
• Proficiency in Java J2EE, Struts, Spring, Hibernate, AJAX, REST, and JPA.
• Expertise in working with SFTP connectors, API Integration, and Salesforce integration.
• Hands-on experience in solution architecture, application design, and development.
• Excellent knowledge of software design principles, OOPs concepts, and development best practices.
• Strong stakeholder management skills with experience collaborating directly with customers.
For more information visit
Website: https://www.crmit.com/
LinkedIn: https://in.linkedin.com/company/crmit
ROLES & RESPONSIBILITIES:
• A thorough study of the brand, its values, deliverables, upgrade systems and good communication skills with the client is required.
• A thorough study of the existing product list and their materials is required.
• Management of front desk operations & point of sales
• Receive and respond to customer enquiries as required
• Acquire a thorough understanding of Key customer needs and requirements
• Identify business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.
• Engagement in Strategic Planning of Sales and BD
• Setting up meetings with the prospective clients
• Presenting product/ service demonstrations to the client
• Establishing new business links
• Seek new opportunities through networking, cold calling, and social media channels
• Expand the relationships with existing customers by continuously proposing solutions that meet their requirements
• Custom orders or modifications: If there are any requests to personalise the size / material / module / design of an existing product, all the details must be coordinated with the support of the Product
• Design Head (PDH). All inputs need to be communicated with the client, keeping the PDH in Email CC. All finalised details must be thoroughly mentioned in the email and the Proforma invoice before payment confirmation
• Organise to send swatches when asked by clients. All the swatches need to be tagged with the correct coding that is registered by both parties (Client and Design studio)
• Prepare Proforma Invoice as per finalised requirement in the standard software used by the company.
• Ensure all client records are well maintained, accurate and current.
• Organise for payments, provide necessary information and make sure for timely sales. Keep accounts department informed and in email CC at all times.
• Ensuring payment and cash transaction are carefully managed for accuracy and consistency.
• Communicate sales with accounts department and OM at all times.
• Send order confirmation email (As per draft) once the payment is cleared. All such details to be confirmed with OM before sending
• Details will be > Estimated production time, and tentative Delivery date > Shipping time frame > Details with regards to any changes in order before xxx time
• Delivery confirmation email: All necessary information to be gathered from client (As per draft)
> Billing details (Name, address, GST no)
> Shipping details (Name, address, contact person who will receive the consignment)
> Information for Unloading of material
> Width for entry of big sized tempo through the lane / entry gate > Alloted space for parking, and unloading of material, distance to the elevator . staircase
> Floor no / number of flights for stairway
> Availability of service elevator OR Availability of Passenger elevator
> Width of Staircase. Furniture placement guidance / actual space for to keep material.
> Update Client for scheduled timings and any other important communication.
> Keep the client informed if there are any delays with the order, or schedule the exact delivery date in accordance to their availability.
Post Delivery:
• Update from client post delivery and acceptance of goods. Logistics Incharge, SM & OM to be informed of the status of the delivery. Any update or details to be immediately communicated via email to keep record of the conversation.
• Any mishaps or grievances to be addressed by email followed with the necessary acton / solution after consulting with the OM.
• After Sales Service: Thank you email - stating Warranty details
• Assembly Booklet and arrange a video call for assembly assistance, if required.
• Returns & Damages.
• Resolve any complaints, additional requirements post delivery
of goods. All information to be communicated to the necessary department. Any rework, design update, product replacement to be communicated with the OM & OP and PDH. Commitments and solution to be addressed only after approval of the OM.
• Maintaining files and filing system
• Completion of administrative tasks as assigned by Office Manager
• A big part of your job involves gathering and analysing data to help you understand your customer base and coming up with suggestions for improving the existing strategy.
• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.
• Take feedback from customers and share it with support teams
• Prepares reports by collecting, analyzing, and summarizing information.
• Maintains quality service by establishing and enforcing organization standards.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
• Contributes to team effort by accomplishing related results as needed.
• Liaise with other managers to plan future development and strategies for the overall growth of the company.
Job Description-
Responsibilities:
* Work on real-world computer vision problems
* Write robust industry-grade algorithms
* Leverage OpenCV, Python and deep learning frameworks to train models.
* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.
* Develop integrations with various in-house or external microservices.
* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices
* Research latest technologies and develop proof of concepts (POCs).
* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:
* Segmentation
* Object Detection
* Classification
* Objects Tracking
* Visual Style Transfer
* Generative Adversarial Networks
* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision
* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes
* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies
Skills:
* Object Detection
* Computer Science
* Image Processing
* Computer Vision
* Deep Learning
* Artificial Intelligence (AI)
* Pattern Recognition
* Machine Learning
* Data Science
* Generative Adversarial Networks (GANs)
* Flask
* SQL
Minimum of 2 years experience as a UI developer.
Experience in creating and integrating responsive and flexible UI for high-performance web applications
Extensive knowledge of React JS, JavaScript, web stacks, libraries, and frameworks.
Understanding of javascript design patterns and ReactJS lifecycle
Understanding of javascript coding methodologies and can rightly implement solutions to complex problems
Writing high-quality code that conforms to the standards and best practices of the industries standards
Superb interpersonal, communication, and collaboration skills.
Exceptional analytical and problem-solving aptitude.
About Alore
Alore brings revenue velocity to businesses by being their dependable growth operating system.
For further information on what Alore can do for growing businesses, please visit http://alore.io">alore.io
Alore is based out of Singapore with an office at Bangalore.
Who should not apply for this job
- If you are looking for a 100% hike in your salary but can't commit to what value you will bring on the table
- If you never read books
- If you jump companies every 11-12 months
- If you are not comfortable working on Saturdays
- If you have less than 2 years of experience
- If you have more than 4 years of experience
- If you have never worked in a product-led company
CTC:
8.5-10.5 LPA based on experience and on performance in the interview round (70% Fixed - 30% Variable Incentive based on delivery schedule) (We do ZERO deductions since the salary will be paid from Singapore)
At this position you will:
- Get solid experience with high-load distributed architecture using REST and Kafka services.
- Work with automated CI/CD processes, AWS cloud, and VoIP.
- Implement and support microservices based on Spring MVC, Camel, MySQL, Mongo, and Kafka.
Requirement
- At least 1 year of experience with Java Core, Java EE, Spring Core, Spring Boot.
- Not more than 3 years of experience in Java Core, Java EE, Spring Core, Spring Boot.
- Deep understanding of SQL database technologies.
- Experience with Scrum / Agile methodology.
- Willingness to learn and explore new technologies.
- Git: merge, rebase, cherry-pick should be fluent.
- Good level of English B1 or higher.
It would be a nice bonus to have:
-
Experience with distributed architecture.
-
Hands-on experience with Kafka, MongoDB, and Apache Camel.
-
Experience with cloud infrastructure (AWS, Google Cloud, Azure, Heroku, etc.).
-
Experience with client-side development (we use Angular8 for website).
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A degree in computer science.















