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Work on requested engine enhancements that deliver on requested functionality and performance.
Create Photorealistic 3D Exterior, interior Archviz Scenes and City Environments, also in AR & VR
Work on improvements to our pipelines and tooling.
Debug engine or game issues and suggest or implement solutions.
Propose and build tools or technologies that could enhance the ability to deliver content in an efficient and timely manner.
Optimize for memory, CPU, and rendering performance.
Discription:
We are seeking enthusiastic individuals to join our team as Customer Care Executives for both Voice and Sales processes. As a Customer Care Executive, you will be responsible for addressing customer inquiries, resolving issues, and promoting our products/services to potential customers.
Qualifications:
- Minimum educational qualification: 12th pass.
- Age between 18 to 30 years.
- Excellent communication skills in English and Hindi
- Ability to handle customer queries and provide appropriate solutions.
- Prior experience in customer service or sales is preferred but not mandatory.
Responsibilities:
- Handle inbound/outbound calls professionally and provide information about products/services.
- Identify customer needs, clarify information, and close sales.
- Maintain a high level of customer satisfaction through effective problem-solving.
- Achieve sales targets and goals as set by the company.
Salary and Benefits:
- Starting salary of INR 18,000 per month.
- Performance-based incentives and bonuses.
- Comprehensive training and career development opportunities.
Description:
As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights.
Key Responsibilities:
1. Team Leadership:
a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management.
b. Foster a culture of innovation, collaboration, and continuous learning within the team.
2. Data Pipeline Development (Google Cloud Focus):
a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.
b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP.
3. Data Architecture and Optimization:
a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently.
b. Optimize data storage, processing, and retrieval for maximum
performance and cost-effectiveness on GCP.
4. Data Governance and Quality:
a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues.
5. Cross-functional Collaboration:
a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights.
b. Participate in discussions regarding data strategy and provide technical expertise.
6. Documentation and Best Practices:
a. Create and maintain documentation for data engineering processes, standards, and best practices.
b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed.
Qualifications
● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform.
● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage.
● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java.
● Excellent problem-solving and communication skills.
● Leadership experience and the ability to manage and mentor a team.


We are seeking a highly skilled and experienced MERN (MongoDB, Express.js, React, Node.js) Stack Developer to join our dynamic development team. As a MERN Stack Developer, you will be responsible for designing, developing, and maintaining scalable web applications using the MERN stack framework.
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
- Expertise in backend programming with Node.js and MongoDB.
- Experience with React.js and redux.
- Material UI and 3rd party libraries.
- Experience with clean code writing practices like avoiding callback hell like promises, async.
- Thorough understanding of Node.js and its core principles.
- Experience with popular React.js workflows (such as Flux or Redux).
- Familiarity with newer specifications of ECMAScript.
- Experience with data structure libraries (e.g., Immutable.js).
- Familiarity with RESTful APIs.
- Knowledge of modern authorization mechanisms, such as JSON Web Token.
- Familiarity with modern front-end builds pipelines and tools.
- A knack for benchmarking and optimization.
- Familiarity with code versioning tools (such as Git, SVN, and Mercurial).
Responsibilities:
- Build Node.js APIs using microservices.
- Rewriting backend code with microservices architecture & Unit tests.
- Developing new user-facing features using React.js.
- Building reusable components and front-end libraries for future use.
- Translating designs and wireframes into high-quality code.
- Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
If you are a passionate MERN Stack Developer looking for an exciting opportunity to work on challenging projects and be part of a talented team, we would love to hear from you. Please submit your application, including your resume and portfolio, highlighting your relevant experience and projects.

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
Technical Skills:
- Ability to understand and translate business requirements into design.
- Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
- Experience in creating ETL jobs using Python/PySpark.
- Proficiency in creating AWS Lambda functions for event-based jobs.
- Knowledge of automating ETL processes using AWS Step Functions.
- Competence in building data warehouses and loading data into them.
Responsibilities:
- Understand business requirements and translate them into design.
- Assess AWS infrastructure needs for development work.
- Develop ETL jobs using Python/PySpark to meet requirements.
- Implement AWS Lambda for event-based tasks.
- Automate ETL processes using AWS Step Functions.
- Build data warehouses and manage data loading.
- Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.

Skills:
- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
- Kotlin, Java
- Important libraries include Dagger, RxJava, Realm
- MVVM Clean Architecture
- Familiarity with RESTful APIs to connect Android applications to back-end services
- Strong knowledge of Android UI design principles, patterns, and best practices
- Experience with offline storage, threading, and performance tuning
- Knowledge of the open-source Android ecosystem and the libraries available for common tasks
- Ability to understand business requirements and translate them into technical requirements
- Familiarity with cloud message APIs and push notifications
- A knack for benchmarking and optimization
- Understanding of Google’s Android design principles and interface guidelines
- Proficient understanding of code versioning tools, such as Git


- Strong experience require in C# coding & Concepts & Threads
- Strong Experience require in SqlServer & MySql & Sqllite
- Experience required in ASP.NET MVC & ASP.NET
- Expericend required in Restful services using WCF & WEB API
- Strong experience using Entity Framework (Edmx,code first)
. Experience require in ADO.NET
- Familiarity with the client side framework jQuery & Javacsript & Reactjs
. Familiarity with HTML & CSS
- Familiarity with Git Repositories
. Familiarity with Microsoft Azure
. Having knowledge in Xamarin.Forms will be added advantage



Basic Qualifications:
- 2+ years of non-internship professional software development experience
- Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
Additional Job requirements
- BS/MS/PhD in Computer Science/Math or equivalent
- BS in computer science or related field.
- 2+ years of relevant professional software development experience: designing, developing, and delivering software written in Java, C#, or C++, web development.
- Knowledgeable in object-oriented design patterns.
- Experience building highly scalable and distributed systems
Preferred Qualifications
- Experience with service-oriented architecture and application/services development
- Passion for performance debugging and benchmarking
- Ability to clearly and concisely communicate with technical and non-technical stakeholders across all levels of the organization

• Build application logic & develop user-facing features in Kotlin and Java.
• Translate designs & wireframes into high-quality code.
• Build reusable components & front-end libraries for future use, as and wherever needed.
• Define front-end architecture, document, estimate scope, & deliver on time.
Candidate profile:
• At least 2 years of professional experience building native projects for Android.
• Have at least one live project.
• Practical knowledge of working with RESTful APIs, & version control tools such as git.
• Experience creating custom libraries.
• Proficiency in various software design patterns.
• Accountable & proactive communicator.
• Has worked in an agile or iterative environment. Can estimate scope & prioritize.
• Independent problem solver. Comfortable with ambiguity & fast pace start-up work culture.
Bonus points:
• If you have previous experience in node js and react
• If you have previous experience in building webrtc products

