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C++• Have a good understanding of both the AEC/O industry and 3D visualization
industry.
• Good knowledge of 3D modeling software such as 3ds MAX, Maya, Rhino, Revit
and Blender
• Experience with cloud collaboration tools like BIM360, and ACC.
• VR/AR experience is a plus. For example, Unreal with C++ or Unity3d with C#.
• Strong understanding of visual programming plugins: Dynamo, Grasshopper, etc.
• Knowledge of batch rendering and how to set up a render farm
• Have experience in developing tools and scripts to standardize the visualization
workflow and to shorten the timeline by automating redundant tasks.
• Draft up wireframe quickly before proceeding with the production
About the Role
We are looking for an experienced Snowflake Architect with 10+ years of overall IT experience and strong expertise in designing, implementing, and optimizing enterprise-scale data platforms using Snowflake. The ideal candidate will have a deep understanding of cloud data warehousing, data architecture, ETL/ELT frameworks, and data engineering best practices. This role requires close collaboration with business stakeholders, data engineers, architects, and analytics teams to build scalable, secure, and high-performing data solutions.
Key Responsibilities
· Design and implement scalable, secure, and high-performance data architectures using Snowflake.
· Define enterprise data models, data warehouse architecture, and best practices for data governance.
· Design and optimize ELT/ETL pipelines for structured and semi-structured data.
· Lead Snowflake implementation, migration, and modernization initiatives.
· Optimize Snowflake performance, query execution, clustering, partitioning, and cost management.
· Design data integration solutions using cloud-native and third-party ETL tools.
· Establish security frameworks, role-based access control (RBAC), data masking, and governance policies.
· Collaborate with Data Engineers, BI Developers, Data Scientists, and business stakeholders to deliver end-to-end data solutions.
· Conduct architecture reviews, performance tuning, and capacity planning.
· Mentor technical teams and establish development standards and best practices.
· Support CI/CD implementation and DevOps practices for data platforms.
· Prepare technical documentation, architecture diagrams, and solution design documents.
Required Skills & Experience
· 10+ years of overall IT experience with at least 5+ years of hands-on experience in Snowflake architecture and implementation.
· Strong expertise in Snowflake Data Cloud architecture and administration.
· Experience designing enterprise-scale data warehouse and lakehouse solutions.
· Strong SQL programming and query optimization skills.
· Experience with ETL/ELT tools such as Matillion, dbt, Informatica, Talend, Fivetran, or Azure Data Factory.
· Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
· Hands-on experience with data modeling techniques (Star Schema, Snowflake Schema, Data Vault, Dimensional Modeling).
· Experience with performance tuning, workload optimization, and Snowflake cost optimization.
· Knowledge of data security, governance, encryption, and compliance best practices.
· Experience with Git, CI/CD pipelines, and Agile development methodologies.
Preferred Skills
· Snowflake certifications (SnowPro Core or SnowPro Advanced).
· Experience with Python, Scala, or Java for data engineering tasks.
· Knowledge of Apache Spark, Kafka, or other big data technologies.
· Exposure to Power BI, Tableau, or other BI and visualization tools.
· Experience working with large-scale enterprise data migration projects.
· Understanding of DataOps and MLOps practices.
Educational Qualification
· Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
Key Competencies
· Strong analytical and problem-solving skills.
· Excellent communication and stakeholder management abilities.
· Proven experience in leading architecture discussions and technical solution design.
· Ability to mentor teams and drive technical excellence.
· Self-driven, proactive, and capable of working effectively in a remote environment.
Job Overview:
We are looking for an experienced HR Recruiter to manage the entire hiring process, from sourcing and screening candidates to onboarding top talent. The ideal candidate will have strong communication skills, an in-depth understanding of recruitment strategies, and the ability to attract the best creative professionals for our team..
Key Responsibilities:
- Oversee the full recruitment cycle, from job posting to onboarding.
- Identify and engage top candidates through various sourcing methods.
- Conduct initial screenings and coordinate interviews with hiring managers.
- Maintain and update hiring platforms and job portals.
- Ensure a seamless and professional candidate experience.
- Manage recruitment records and generate reports.
- Assist in additional HR functions, including employee engagement and retention strategies.
Qualifications:
- Bachelor's degree in Human Resources, Business Administration, or a related field.
- Proven experience in talent acquisition, preferably within the creative or design industry.
- Strong interpersonal and communication skills.
- Proficiency in applicant tracking systems and recruitment tools.
- Ability to manage multiple hiring processes effectively.
What We Offer:
- Competitive salary with performance-based incentives.
- A collaborative and creative work environment.
- Opportunities for professional growth and career advancement.
- Comprehensive health and wellness benefits.
Why Join Us:
At All Time Design, we are committed to delivering top-quality design solutions that exceed client expectations. As a Recruiter your proficiency in recruitment strategies and candidate engagement will be instrumental in building a strong workforce and driving our organization's sustained success.
Job Type: Full-time
Pay: ₹20,000.00 - ₹40,000.00 per month
Benefits:
- Flexible schedule
Schedule:
- Day shift
Work Location: In person
AngularJS (1.x)
Angular (2+)
React.js
NodeJS (Node.js)
MongoDBAbout 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
Job Title: Insurance Sales (Direct Channel)
Role: FLS ( Front Line Sales )
Total Exp: 3-5 Years
Relevant Exp: 2 years into insurance
Skills: Life Insurance Sales, Health insurance sales, Insurance sales
Locations: East, South, North, and West Zones.
Data Science
Machine Learning (ML)
PythonJob Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
Job Description
We are looking for an ambitious and energetic Team Lead – Business Development (Inside Sales) to help us expand our clientele. You will be the front of the company and will have the dedication to create and apply an effective sales and marketing strategy.
The goal is to drive sustainable financial growth through boosting sales and forging strong relationships with clients in the US Health Care and Media domain.
Requirements
· Responsibilities
· Conduct research to identify new markets and customer needs
· Arrange business meetings with prospective clients
· Promote the company’s products/services addressing or predicting clients’ objectives
· Keep records of sales, revenue, invoices etc.
· Provide trustworthy feedback and after-sales support
· Build long-term relationships with new and existing customers
· Develop entry level staff into valuable Business Development Resources
· Manage a team of lead qualification BDEs or Inside sales representatives
· Proven working experience as a Team Lead – Inside Sales
· Proven sales track record
· Experience in customer support is a plus
· Proficiency in MS Office and CRM software (e.g. Hub Spot)
· Proficiency in English
· Market knowledge
· Communication and negotiation skills
· Ability to build rapport
· Time management and planning skills
· Any Graduate with sales experience of at least 5+ years with team management experience of 2 plus years
- Work independently, good communication and Excel Skills.
- Extensive experience in loading data using SF data loader.
- Expert in SALESFORCE configurations and admin activities
- Integration development experience (REST / SOAP)
- Should be expert in working with flows, process builder, Platform Events and APEX
Roles and Responsibilities
- Review the business requirements
- Prepare solution design
- Develop and test the solution
- Provide technical inputs for project
Data Science
R ProgrammingPython- Python coding skills
- Scikit-learn, pandas, tensorflow/keras experience
- Machine learning: designing ml models and explaining them for regression, classification, dimensionality reduction, anomaly detection etc
- Implementing Machine learning models and pushing it to production
- Creating docker images for ML models, REST API creation in Python
- Additional Skills Compulsory:
- Knowledge and professional experience of text and NLP related projects such as - text classification, text summarization, topic modeling etc
- Additional Skills Compulsory:
- Knowledge and professional experience of vision and deep learning for documents - CNNs, Deep neural networks using tensorflow for Keras for object detection, OCR implementation, document extraction etc
Responsibilities
- Provide the team with a vision of the project objectives
- Responsible for finalizing and documenting requirements from customer
- Implementing high-level requirements and to produce robust solutions, within predefined timelines, and scope limitations
- Spearhead and Co-ordinate development activity required for the Project (Automation scripts, Tool development, )
- Ensure Quality with on time delivery of agreed deliverable
Key Requirements
- Demonstrated expertise in a variety of application development, technology concepts,practices, and procedures
- Strong experience in Databases, SQL Programming, Data Conversion/Migration
- Good Experience in developing Automation scripts and using RPA tools
- Should have led a team and be able to mentor others to improve their skills
- Good Problem-Solving Ability and Analytical Skills
- Must have passion for their work
C#
Android Development
iOS App Development
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