11+ UnrealScript Jobs in Chennai | UnrealScript Job openings in Chennai

• Work with the CG Lead / Creative Director to design and build interactive experiences and Cinematic sequences using Unreal.
• Work on Virtual production, Real-time animation projects and XR projects.
• Create, manage and optimize 3D assets for high-end photorealistic cinematic in UE.
• Material Creation - Design complex materials in Unreal and instruct artists on best practices for material creation.
• Manage render pipelines and optimize settings to ensure compatible outputs in required formats.
• Work on Particle system and Niagara FX system to author custom FX.
• Perform Lighting passes on scenes to ensure high graphical fidelity that meets the art requirement while maintaining an optimized scene.
• Work within time and budget constraints and develop optimal workflows to ensure the best visual and technical quality of the scenes/levels.

Job Title: Assistant Manager – Sales (Building Automation Solutions)

Location: Chennai

1. Job Overview

• Responsible for sales and business development of Building Automation Solutions (BAS) & ELV projects.
• Drive revenue growth through client acquisition, relationship management, and technical solution promotion.
• Work closely with clients, consultants, and internal teams to achieve business objectives.

2. Key Responsibilities

Sales & Business Development

• Develop and execute sales strategies for Building Automation Solutions.
• Identify and pursue new business opportunities in target industries.
• Achieve sales targets and contribute to revenue growth.

Client Engagement

• Build and maintain strong client relationships.
• Understand client requirements and propose tailored BAS/ELV solutions.
• Conduct product demonstrations, presentations, and negotiations.

Technical & Project Support

• Provide pre-sales and post-sales technical support to clients.
• Possess strong technical knowledge of BAS, HVAC, and ELV systems.
• Coordinate with project and technical teams for smooth execution.

Market Analysis & Reporting

• Monitor competitor activities, market trends, and customer feedback.
• Prepare periodic sales reports and forecasts for management review.
• Suggest improvements to strengthen market positioning.

3. Qualifications

• Bachelor’s Degree in Instrumentation / Electronics / Automation / related field.
• 8–10 years’ experience in Sales & Marketing of Building Automation Solutions / ELV / HVAC projects.
• Proven track record of project sales and target achievements.

4. Key Skills (Must-Have)

• Sales & Business Development in Building Automation Solutions / ELV projects
• Technical knowledge of BAS, HVAC, Automation Products
• Client Relationship Management
• Pre-Sales & Post-Sales Support
• Excellent Communication & Presentation skills
• Market Analysis & Negotiation

5. Additional Skills (Good-to-Have)

• Knowledge of emerging automation products and technologies.
• Ability to handle large-scale project sales independently.
• Strong networking with consultants, contractors, and system integrators.

6. Benefits

• Competitive salary with attractive incentives/commissions.
• Health insurance and employee benefits.
• Professional growth and learning opportunities.

Roles and Responsibilities

1.    Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.    Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.    Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.    Oversee and facilitate MHFAI instructors for training and upskilling.

5.    Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.    Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.    Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.    Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.    Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10. Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11. Provide support in other operational functions of MHFA as needed.

Requirements:

·      4-10 years in Counselling psychology and / or mental health training

·      Qualification: Education in Counselling / Medical Psychology

·      Experience in clinical work

·      Exposure to mental health training

·      Experience of having previously worked in organized group is desirable

About Klenty

Klenty is a Software Product company operating in the Sales Engagement category.

One of the fastest growing SAAS startups in the sales engagement space, Klenty is headquartered in California and operates from Chennai, India.

Klenty’s Sales Engagement Product helps thousands of sales teams automate all the repetitive activities involved in the sales process like sending emails, follow-ups, tracking engagement metrics, etc - so that the sales team can focus more on activities like building relationships and closing deals.

With over 3000 customers all over the world, we are on a mission to transform every B2B Sales team into an unstoppable force

Join us in building the future of sales engagement software

Our project entails implementing our pre-approved UI, constructing our API, connecting the two, and setting up our server infrastructure. This includes all associated areas such as database and architecture design.

Roles and Resposibilities

• Design and implementation of the overall web architecture.

• Flawless implementation of our approved user interface.

• Design and deployment of our database used in online and offline executions and construction of our REST API.

• Integrating with third-party APIs and existing frameworks.

• Design and implementation of continuous integration and deployment.

• Providing improvements to the product being supported.

• Actively participated in release and sprint planning, artifact creation, sprint testing, regression testing, demonstrations, retrospectives, and solution releases.

• Developing and adhering to best practices for developing applications and continuously contributing to team performance improvement and collaboration.

• Design, code, test, debug, maintain, and document programs.

• Writing unit tests to continually improve the quality of our ability to introduce features at a rapid pace.

• Programming, updating, and managing server-side code.

• Working closely with other developers to maintain structured code.

• Continuously improve the tribe’s services to achieve technical excellence and pay off the technical debt over time.

Required Skills

• At least 3 years of experience with: Relevant back-end programming

• in NodeJS, ReactJS, ExpressJS, JavaScript

• Database design and management, including being up on the latest practices and associated versions.

• Server management and deployment for the relevant environment

• Familiarity with a relevant and globally supported framework—both front-end and back-end.

• Ideally, familiarity with CSS pre-processors, bundlers, and associated languages/syntaxes/libraries

• Thorough understanding of user experience and possibly even product strategy.

• Experience implementing testing platforms and unit tests

• Proficiency with Git

• Experience with agile and/or DevOps processes and tools (e.g., JIRA,) Ability to translate software requirements into working and maintainable solutions within the existing application frameworks.

• Excellent knowledge of relational databases. Excellent skills in DB schema design.

Skills:- MongoDB, Express, React.js, NodeJS (Node.js), Amazon Web Services (AWS), Javascript, CI/CD, Redis, Elastic Search and Heroku

Industry

Information Services

Employment Type

Full-time

• Overall 3+  years of software development experience in building web-based and highly scalable applications. 

• Excellent understanding of core computer science concepts like algorithms, data structure, system design, OOP, etc. 

• Deep knowledge and development expertise in React Native/ReactJS 

• Hands-on coding experience in developing multi platform (iOS & Android) mobile applications with REST APIs.

• Experience working as a Full stack developer is a big plus.

• Experience in building single page applications or Javascript heavy front end applications in ReactJS is a big plus.

• Experience working in cloud environments with CI/CD and infrastructure automation is a big plus.

• Experience working in an agile team with software engineering practices like automated testing, test-driven-development, continuous integration, etc is a big plus. 

• Strong oral and written communication.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification