11+ Unreal Engine Jobs in Delhi, NCR and Gurgaon | Unreal Engine Job openings in Delhi, NCR and Gurgaon

Are you looking to work in a fast-paced technology company that helps you grow in your career? A job that allows you to be part of a high-growth passionate environment that rewards your hard work with extremely aggressive learning? Come to work in the VizExperts' R&D team and be a part of our growth story!

The VizExperts! (https://www.vizexperts.com/about-us">https://www.vizexperts.com)

VizExperts works in high growth areas like Virtual & Augmented Reality. We serve Global & Domestic Enterprise customers on their Digital Transformation journey. VizExperts has a cool & innovative product profile with infinite growth opportunities awaiting you! We have been voted as the top Virtual Reality company in Asia Pacific and are growing fast into new markets with our cool new product, Exxar. 

We have our global presence along with headquarters in USA, Malaysia and Bangladesh.

Product ( https://www.exxar.cloud/">https://www.exxar.cloud )

Exxar is a product line that accelerates Digital Transformation for enterprise clients. Exxar CAD is a SAAS software product that works alongside CAD applications and transforms them into a VR-enabled Design Review & Validation tool. A large number of clients have adopted this technology in the Manufacturing (Automotive, Shipbuilding, Railways, Heavy Engineering) and Engineering Education (IITs, private engineering colleges) verticals. 

3D Game / AR & VR Developer

We are looking for smart engineers with knowledge and passion for Interactive 3D Game Development in AR & VR technologies to work on our exciting advanced technology. This position is for our Gurgaon R&D center. The person should have hands on experience or very good working knowledge in

• C++ (mandatory)

• Unreal Engine, Unity  (mandatory)

Benefits include:

- Structured training program

- Fee Reimbursement for continued education

- Flexible timings and supportive work culture

Ready to join us on this exciting journey?

We are scheduling interviews instant job offers for candidates who qualify our hiring criteria. 

Job Title : Full Stack Engineer

Location : New Delhi

Job Type : Full-Time

About the Role :

We are seeking a passionate Full Stack Engineer who enjoys building scalable, high-performance applications across web and mobile platforms.

This role is ideal for someone eager to work in a fast-paced startup environment, contributing across the full development lifecycle.

Mandatory Skills :

React.js, Next.js, React Native, Node.js, Express.js, PostgreSQL, AWS (EC2/S3/RDS/IAM), RESTful APIs.

Key Responsibilities :

• Design, build, and maintain scalable applications for web and mobile.
• Translate UI/UX wireframes into efficient, reusable, and maintainable code.
• Optimize applications for maximum performance, scalability, and reliability.
• Work on both front-end and back-end development using modern frameworks.
• Participate in code reviews, debugging, testing, and deployment.
• Collaborate with cross-functional teams to deliver high-quality products.

Requirements :

• Experience : 1+ years of software development (internships + full-time combined acceptable).
• Frontend Skills : React.js, Next.js, React Native.
• Backend Skills : Node.js, Express.js, RESTful APIs.
• Database : Strong knowledge of PostgreSQL.
• Cloud : Exposure to AWS services (EC2, Elastic Beanstalk, RDS, S3, ElasticCache, IAM).
• Additional : Experience with Redis and BullMQ is a strong plus.
• Strong debugging, problem-solving, and analytical skills.
• Enthusiasm for working in a dynamic startup environment.

Job Description – QA & Data Validation Engineer

Experience: 5–6 Years

Location: Pan India

Employment Type: Full-Time

Work Mode: Pan India / Remote or Hybrid as applicable

About the Role

We are looking for an experienced QA & Data Validation Engineer with 5–6 years of hands-on experience in data quality assurance, solution analysis, data validation, SQL, Python, PySpark, Azure Data Factory, Azure Synapse Analytics, and Power BI validation.

The ideal candidate will be responsible for validating large-scale data pipelines, performing source-to-target reconciliation, analyzing business rules, investigating data defects, and ensuring the accuracy, completeness, and consistency of data across source, staging, intermediate, and target systems.

The role requires strong analytical and problem-solving skills along with the ability to work closely with development, data engineering, business, and other stakeholders in an Agile delivery environment.

You will also contribute to the design, development, and maintenance of automated validation frameworks and utilities using Python, SQL, PySpark, Azure Data Factory, and Azure Synapse.

---

Key Responsibilities

1. QA & Solution Analysis

- Analyze business and technical requirements to understand data processing and validation needs.

- Participate in requirement analysis sessions and clarify functional and technical requirements with stakeholders.

- Review solution designs, data flows, mapping documents, interface specifications, and business rules.

- Validate that implemented solutions meet defined business and technical requirements.

- Identify gaps, inconsistencies, ambiguities, and potential data quality issues during requirement and solution analysis.

- Translate business requirements into detailed test scenarios, test cases, and validation conditions.

- Perform end-to-end validation of data processing workflows.

- Ensure data is accurately processed from source systems through intermediate layers to final outputs.

- Validate business rules and transformation logic implemented within data pipelines.

2. Test Planning & Execution

- Prepare comprehensive test strategies, test plans, test scenarios, and test cases for data-intensive applications.

- Execute functional, integration, regression, system, and data validation testing.

- Perform positive and negative testing for different data processing scenarios.

- Validate data pipelines across multiple environments, including staging, testing, and production.

- Identify test data requirements and prepare appropriate datasets for validation.

- Execute SQL queries to validate data processing and transformation results.

- Document test results, observations, defects, and validation evidence.

- Track testing progress and communicate status, risks, issues, and dependencies to stakeholders.

3. Data Validation & Reconciliation

- Perform detailed source-to-target data validation and reconciliation.

- Validate source, intermediate, staging, and output datasets.

- Perform record count validation between source and target systems.

- Verify data completeness, consistency, accuracy, and integrity.

- Validate data transformations against defined business rules.

- Perform field-level and record-level comparisons.

- Validate data types, formats, precision, scale, and null handling.

- Verify schema structure, layout, column names, and column sequence.

- Validate mandatory and optional fields.

- Identify missing, duplicate, truncated, or incorrectly transformed records.

- Analyze invalid records, rejected records, and exception datasets.

- Verify exception and reject-handling mechanisms.

- Compare production and staging data to identify discrepancies.

- Perform reconciliation between files, databases, and reporting layers.

- Validate data across different processing stages and identify the root cause of discrepancies.

4. File & Data Processing Validation

- Validate large-scale datasets across multiple file formats.

- Perform validation of:

 - CSV files

 - Delimited files

 - Fixed-width files

 - Excel files

 - Database tables

 - Structured and semi-structured datasets

- Validate file layouts, headers, delimiters, record formats, and column sequences.

- Verify file-level and record-level counts.

- Analyze source, intermediate, and final output files.

- Validate file-to-database and database-to-file reconciliation.

- Identify incomplete, corrupted, malformed, or invalid records.

- Verify data movement and transformation between different storage locations.

- Validate Azure-to-AWS file transfer processes.

- Ensure transferred files are complete and match the expected source datasets.

---

5. Defect Investigation & Root Cause Analysis

- Investigate data discrepancies and application/data pipeline defects.

- Perform detailed root cause analysis for data quality and validation failures.

- Analyze source data, transformation logic, pipeline execution, database records, and output datasets to identify defects.

- Collaborate with developers and data engineers to resolve identified issues.

- Reproduce defects and provide detailed technical evidence.

- Perform defect impact analysis.

- Conduct retesting and regression testing after defect resolution.

- Monitor recurring data quality issues and recommend preventive solutions.

- Maintain detailed defect documentation and validation results.

---

6. Python Development & Automation

- Develop Python scripts and utilities for data validation and reconciliation.

- Design, develop, and maintain reusable data validation frameworks.

- Automate repetitive data comparison and validation activities.

- Build automated utilities for:

 - Record count validation

 - Data completeness checks

 - Schema validation

 - Column sequence validation

 - Source-to-target comparison

 - Duplicate detection

 - Exception identification

 - Data quality checks

 - Automated reporting

- Develop Python-based validation and reporting utilities.

- Optimize Python scripts for processing large datasets.

- Maintain and enhance existing automation frameworks.

- Implement reusable validation components to improve testing efficiency and coverage.

---

7. SQL Development & Data Analysis

- Write complex SQL queries for data analysis and validation.

- Perform data extraction and comparison using SQL Server / SSMS.

- Validate source and target database records.

- Perform joins, aggregations, subqueries, CTEs, and analytical queries as required.

- Develop SQL queries to identify data mismatches, duplicates, missing records, and transformation issues.

- Validate database tables, schemas, columns, constraints, and relationships.

- Perform record count and reconciliation checks using SQL.

- Analyze SQL Server metrics databases.

- Validate data processing results against expected business rules.

- Troubleshoot data discrepancies using SQL queries.

---

8. PySpark & Large-Scale Data Processing

- Develop and execute PySpark notebooks for large-scale dataset processing and validation.

- Analyze large volumes of structured and semi-structured data.

- Perform data transformation and validation using PySpark.

- Compare large source and target datasets efficiently.

- Implement data quality and reconciliation checks using PySpark.

- Analyze exception, reject, and invalid datasets.

- Optimize data validation processes for large datasets.

- Work with Azure Synapse notebooks and data processing environments.

---

9. Azure Data Factory & Pipeline Testing

- Design and execute validation scenarios for Azure Data Factory (ADF) pipelines.

- Validate pipeline execution, data movement, transformations, and dependencies.

- Monitor pipeline runs and investigate failures.

- Validate source-to-target data movement through ADF.

- Develop and maintain test pipelines using Azure Data Factory.

- Verify pipeline parameters, triggers, activities, and execution results.

- Validate file ingestion and processing workflows.

- Perform end-to-end testing of data pipelines.

- Investigate pipeline-related data discrepancies and failures.

---

10. Azure Synapse Analytics

- Work with Azure Synapse Analytics for data validation and analysis.

- Develop and execute Synapse notebooks using PySpark.

- Validate datasets processed through Synapse pipelines and notebooks.

- Perform data quality and reconciliation checks within Synapse environments.

- Analyze large-scale datasets and processing results.

- Validate data movement between Azure storage, Synapse, databases, and reporting systems.

---

11. Azure Storage & Cosmos DB

- Validate data stored in Azure Storage Accounts and Containers.

- Verify file ingestion, processing, and output data.

- Perform file-level and content-level validation within Azure storage.

- Validate data processing workflows involving Azure Storage.

- Perform data validation in Azure Cosmos DB.

- Verify records, fields, formats, and data completeness within Cosmos DB.

- Investigate discrepancies between source files, Azure storage, databases, and Cosmos DB.

---

12. AWS S3 & Azure-to-AWS Validation

- Validate files stored in AWS S3.

- Perform source-to-target validation for files transferred between Azure and AWS.

- Verify file counts, file names, sizes, formats, and record counts.

- Compare source files with transferred S3 files.

- Validate data integrity after cloud-to-cloud file transfers.

- Investigate missing, incomplete, duplicate, or corrupted files.

- Support end-to-end validation of Azure-to-AWS data movement processes.

---

13. Metrics, Reporting & Power BI Validation

- Extract and validate source system metrics.

- Validate metrics stored in SQL Server databases.

- Perform reconciliation between source metrics, database metrics, and reporting outputs.

- Validate Power BI dashboards and reports against underlying source data.

- Verify report calculations, KPIs, measures, filters, and aggregations.

- Perform file-to-database-to-Power BI reconciliation.

- Validate data displayed in Power BI against SQL Server and source datasets.

- Identify discrepancies between backend data and dashboard results.

- Support reporting and analytics teams with data validation and troubleshooting.

---

14. Production Support & Job Monitoring

- Monitor scheduled data processing jobs and pipelines.

- Perform production validation and health checks.

- Analyze production failures and data discrepancies.

- Support incident investigation and resolution.

- Compare production and staging environments to identify differences.

- Validate production data after deployments and pipeline executions.

- Monitor ECG jobs and provide support for job execution and data processing issues.

- Perform post-production validation and reconciliation.

- Communicate critical production issues and risks to relevant stakeholders.

---

15. Agile Delivery & Stakeholder Collaboration

- Work effectively within an Agile/Scrum delivery environment.

- Participate in sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.

- Collaborate with Business Analysts, Developers, Data Engineers, DevOps teams, Product Owners, and other stakeholders.

- Provide timely updates on testing progress and issues.

- Participate in requirement clarification and solution discussions.

- Support release planning and production deployment activities.

- Track work items and defects using Rally.

- Ensure testing activities are aligned with sprint and release timelines.

---

Required Technical Skills

Mandatory Skills

- 5–6 years of experience in QA / Data Validation / Data Testing / Data Quality Engineering.

- Strong experience in SQL and data analysis.

- Hands-on experience with Python development and automation.

- Experience with PySpark and large-scale data processing.

- Strong experience with Azure Data Factory (ADF).

- Experience with Azure Synapse Analytics / Synapse Pipelines / Notebooks.

- Strong understanding of source-to-target data validation and reconciliation.

- Experience in data completeness, record count, schema, layout, and column validation.

- Experience in defect investigation and root cause analysis.

- Experience validating large datasets and multiple file formats.

- Experience with SQL Server / SSMS.

- Experience with Power BI dashboard/report validation.

- Strong understanding of data pipelines and ETL/ELT processes.

Cloud & Data Platform Experience

- Azure Data Factory

- Azure Synapse Analytics

- Azure Synapse Pipelines

- Azure Synapse Notebooks

- Azure Storage Accounts

- Azure Storage Containers

- Azure Cosmos DB

- Azure Privileged Identity Management (PIM)

- AWS S3

- Azure-to-AWS file transfer validation

---

Preferred Skills

- Experience developing automated data validation frameworks.

- Experience building automated reporting and reconciliation utilities.

- Knowledge of ETL/ELT testing methodologies.

- Experience working with very large datasets.

- Experience in production data validation and support.

- Knowledge of cloud-based data platforms.

- Experience with Power BI data reconciliation.

- Experience working in Agile environments.

- Experience with Rally or similar Agile project management tools.

- Familiarity with Microsoft Copilot and AI-assisted productivity/automation tools.

---

Key Responsibilities at a Glance

The successful candidate will be responsible for:

- Requirement analysis and clarification

- Business rule validation

- Test planning and execution

- Data quality and data validation

- Source-to-target reconciliation

- Record count and completeness validation

- Schema and layout validation

- Column sequence validation

- Exception and reject data analysis

- Production vs. staging comparison

- SQL-based data analysis

- Python automation

- PySpark development

- Azure Data Factory pipeline testing

- Azure Synapse validation

- Azure Storage validation

- Cosmos DB validation

- AWS S3 validation

- Azure-to-AWS file transfer validation

- Power BI dashboard validation

- SQL Server metrics validation

- Automated reporting

- Defect investigation and root cause analysis

- Production job monitoring and support

- Agile delivery and stakeholder collaboration

---

Candidate Profile

We are looking for a detail-oriented, analytical, and technically strong QA/Data Validation professional who can work independently on complex data validation assignments.

The candidate should be comfortable working with large datasets, writing SQL queries, developing Python automation, analyzing PySpark datasets, validating cloud-based data pipelines, and troubleshooting data discrepancies across multiple systems.

Strong communication and stakeholder management skills are essential, as the role requires regular collaboration with technical and business teams.

---

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.

Experience

5–6 years of relevant professional experience in QA, Data Testing, Data Validation, ETL Testing, Data Quality, Data Engineering QA, or a similar role.

Location

Pan India

Employment Type

Full-Time

Keywords

QA Engineer, Data QA, Data Validation, Data Testing, ETL Testing, Data Quality, SQL, Python, PySpark, Azure Data Factory, ADF, Azure Synapse, Synapse Analytics, Synapse Pipelines, Azure Storage, Cosmos DB, AWS S3, Power BI, SQL Server, SSMS, Data Reconciliation, Source-to-Target Validation, Data Pipeline Testing, ETL QA, Automation Testing, Data Analytics, Root Cause Analysis, Agile, Rally, Cloud Data Testing, Data Engineering QA.

Job Profile:-

We’re in search of a Back-End Software Engineer that specializes in server-side components. In this role, you’ll primarily work on Node JS, Mongo DB, Redis, building scalable products and will bring a depth of knowledge on algorithms and data structures. As a Back-End Software Engineer, on any given day you might be architecting new features for our customers, refactoring existing code to be more scalable, and seeing changes through to completion in a live environment.

Key Attributes you need to possess: -

- Prioritization- Should have a strong work ethics and show up on time at sessions with excellent skills in predicting the amount of time needed to plan, coordinate, and perform on a task or managing their clients as and when required.
- Quick Learning Ability- You should be an amazing self-learner who has the ability to learn new technology on their own and are not threatened by new technologies. Someone who has an ability to pull various bits of information and to process information on the fly with good logical and analytical skills.
- Deep and Broad Technical Experience- Someone who is able to hit the ground because they already know the right technology.They should be able to meet coding principles and write code that is readable and commented-on where appropriate.Through incorporating their cognitive abilities and extensive industry experience, they are able to find optimal solutions easily.
- High-End User Focus-A good programmer does what they are asked to do, while a great programmer thinks of the end user of the software and works to solve problems within the organization’s
capabilities.Someone who knows the functionality they’re creating is of high value.
-Business Acumen- Should have a great eye for Business acumen as the product build will be exposed to millions of customers on-brand digital assets hence giving you exposure for handling a large user base in a live environment.
-Teamplayer- Someone who is able to work in a challenging environment and requires complete devotion, persistence and learning new things every day. As they will be involved in every fact of the product development starting from product ideation, Interface design, user experience, analytics, and engineering.

Typical work week look like:-

- Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
- Design and implementation of scalable applications by using asynchronous programming with low-latency, high-availability, and performant applications between multiple systems, servers, and environments.
-Integration of data storage solutions by creating database schemas that represent and support business processes and also Integrating multiple data sources and databases into one system.
- Building reusable code and libraries for future use.
- Explore technical innovation and propose new solutions as and when required.
- Work with engineers, product managers and senior leadership to turn our product and technical vision into a tangible roadmap every month.


Our ideal candidate should have:-

- 4+ years of relevant experience in a Tech Startup
- A solid grounding in Computer Science fundamentals (based on a BE/BTech or MS in Information Technologies/Computer Science)
- Strong proficiency with JavaScript and knowledge of Node.js and frameworks.
- Strong hands on MongoDB and ability to write aggregation queries.
- Basic understanding of front-end technologies, such as HTML5, and CSS3.
- Hands-on on code versioning tools, such as Git, Redis, AWS, Sockets

Job profile- Oracle _ Solution Architect
Experience – 6+ years
Location- Bangalore/ Chennai/ Pune/ Noida
Salary- 30 LPA
Qualification- Any
Job Location- Bangalore/ Chennai/ Pune/ Noida
Key Skills- Oracle ERP cloud solutions, Rollout or implementation, Oracle EBS
Roles & Responsibilities-

• Solution architect experience in the delivery of Oracle ERP cloud solutions, leading the design and implementation of Oracle ERP Cloud Solutions across a range of client industries and leading customer engagements and advising on Oracle fusion related topics.
• Strong hands-on experience with Oracle Cloud ERP solution architectures, design, rollout and implementation leadership.
• 8 years minimum experience in Oracle EBS and Oracle ERP Cloud with the majority of recent experience in Oracle Fusion (Cloud) applications.
• Minimum 4-6 years of experience in Oracle cloud solution implementation. Recent experience in a lead role in at least 2 full ERP Cloud implementations

Desired Candidate Profile

• An MBA and/ or a CA
• 3-5 years of experience working as an Analyst
• Experience working with a high-paced E-com/ Health-Tech/ Product-based startup. Candidates working with a CA-Firm or a big MNC/ BPO will not be considered.
• Outstanding analytical and problem-solving skills
• Ability to convert data into meaningful information
• Proficiency in MS Excel and PPT
• Loves numbers including the financial data

• Proficient in  PHP / HTML / CSS / MySql / Javascript/Jquery
• Knowledge of the MVC Framework will be a plus point.
• Good to have Contributions to open-source
• Strong Knowledge of Data Structure and OOPS concept
• Knowledge of Redis will be a plus point
• Should have background knowledge of E-commerce Systems
• Should have work with API's and its services
• Must be passionate about writing clean and maintainable code.

Experience: 2-4 Years

Salary: Negotiable as per your last CTC

Location: Technopolis IT Hub, Noida Sec -62

Job Description:

• Able to independently accomplish development tasks to get things done.
• Able to research and prototype using new technologies that could improve your teams skill.
• Provide support on troubleshooting production systems when issues are escalated with a commitment to excellent customer service.
• Revel in making end-users lives better with the software the team produces.
• Help deliver as a team, verifying that completed user stories meet business expectations and are backed by automated regression tests.
• Passionate about crafting elegant solutions to complex problems.
• Show high ownership and are self-driven.

Requirements:

• 2 to 4 years of experience in PHP and PHP frameworks.
• Good experience in Laravel / Magento
• Strong knowledge of Zend framework, Strong PHP 4 & 5, MySQL, AJAX, CSS, Smarty
• Experience in HTML, CSS, JQuery.
• Experience in designing and writing APIs.
• Experience in good design patterns, dependency injection and MOC frameworks.
• Experience in data modeling and database technologies such as MySQL, SQL Server, PostGres.
• Command over front end JavaScript frameworks.
• Experience working in an agile development environment.
• Experience in writing unit, automated and integration tests.
• Good knowledge of CMS and MVC concepts.

Experience: 2-5 Years

Location: Sector 62, Noida

Job Description

• Research, design, develop, and test blockchain technologies
• Brainstorm and help evaluate applications for new tools and technologies as they continually evolve
• Maintain and extend current client- and server-side applications responsible for integration and business logic
• Be involved in the global blockchain community—work on implementing and integrating the latest improvement proposals
• Document new solutions as well as maintaining that of existing ones

Required Skills

• Strong software development background
• Experience working with large codebases
• Experience working with open-source projects
• Proficiency in one of the following languages: C++, Java, JavaScript
• Strong knowledge of common algorithms and data structures
• Familiarity with basic cryptography
• Familiarity with P2P networks
• Strong knowledge of bitcoin-like blockchains
• Strong knowledge of concurrency and writing efficient and safe multithreaded code
• Strong knowledge of STL, C++11
• Proficiency in the Qt Widgets module

Perks & Benefits:

• Flexibility
• Saturdays off
• Attractive Incentives & Compensation

We are looking for a Technology Leader to help us build the next-generation InsureTech platform from scratch. You will work with an amazing set of engineers on some of the most challenging tech problems and impact million of lives. 

Responsibilities:

- Define the technical architecture for Vital

- Complete responsibility of the development of the backend, web app, and the native app

- Recruit, manage and mentor a team of frontend developers, backend developers and quality engineers

- Ensure timely delivery of all features 

- 50% of the time will be in the actual development and 50% in code reviews, management and building the team

Requirements:

- 10+ years of application development experience in a good product company

- Expert knowledge of data structures, algorithms, databases, and caching technologies

- Must have managed a team of developers and QA engineers

- Must be hands-on with coding and development

- Undergrad CS degree from NIT or a good regional college is a MUST

Our client is a Delhi based healthcare platform that is dedicated to Ayurveda and provides wellness solutions to its customers that is tailored and fine-tuned to their requirements. They have created a unique balance of Ayurvedic herbs and western medicine to come up with courses and medical advice which will not only rid their patients of the illness but also helps them bring the body back into balance.

Their services are available across the globe, with over 65% of their client base being from US, UK, and Canada. The company's primary focus is on Ayurveda and taking the ancient knowledge to anyone who wishes to bring back balance to their health and apply the tools in their everyday life.

What you need to have: