11+ Autodesk 3ds Max Jobs in Kolkata | Autodesk 3ds Max Job openings in Kolkata

Role Overview:

You’ll be responsible for lighting high-end architecture and product visuals using Corona Renderer in 3ds Max, ensuring photorealistic output that matches international quality standards.

Key Responsibilities:

• Set up realistic lighting for day/night scenes in Corona Renderer.
• Optimize light balance, shadows, and contrast without compromising realism.
• Work closely with modelers to enhance the final output.
• Troubleshoot render issues, optimize scene settings, and reduce render time.
• Collaborate on animation and still render projects across residential and commercial categories.

Must-Have Skills:

• Strong command over Corona Renderer in 3ds Max.
• Deep understanding of light temperature, GI, HDRI setups, and exposure control.
• Ability to produce natural and cinematic lighting without heavy post-processing.
• Knowledge of LightMix, interactive rendering, and LUTs.
• Minimum 1.5 years of professional experience in lighting for architecture visualization.
• A solid portfolio of lighting renders (interiors + exteriors + products).

Good to Have:

• Experience with animations and render passes.
• Familiarity with After Effects or Photoshop for minor post.

Compensation:

Based on experience and portfolio. Industry-standard pay with specified paid leaves

Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
• Build RESTful APIs and integrations with third-party systems and internal tools.
• Work with data workflows involving ingestion, transformation, and validation.
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
• Optimize code for performance, scalability, and maintainability.
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

• 5+ years of experience in backend software development, primarily in Python.
• Strong understanding of OOP, modular design, and Python design patterns.
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
• Experience with Airflow for workflow orchestration.
• Knowledge of building scalable, distributed applications and microservices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
• Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
• Familiarity with data storage formats and tools like Parquet, Iceberg.
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
• Background in metadata-driven or event-driven architectures.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

1. Candidate should have 1- 5 years of experience in Distributing IT Network Security Products / Endpoint Security / DLP / Software / Desktop / Laptop sales / Networking Products Sales working with Channel Partners.

2. Should have Experienced in Handling Partners and Customers.

3. Should be able to work in Synergy with OEM / partners.

7. Should be able to meet end customers also to discuss and explain solutions has and when required.

8. Should posses good knowledge about the region, & market.

Qualification Required- Graduate / BE / MBA

Experience Required- Minimum 2 years in IT Channel Network Distributing products and solutions.

Designation: Senior Software Engineer

Years of experience: Minimum 5 years of relevant experience

Skills: 5+ years of hands on experience in Angular 6/7/8/9 (mandatory). Experience also in Angularjs is preferred but not mandatory.

About:

Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life. 

Role:

B2B Social Media Expert

Description:

Are you intimately familiar with the LinkedIn algorithm? Do you specialize in growing brand following on Twitter? Are you proficient in defining and executing social media strategies for Quora, Reddit, Instagram, and Facebook?  We’re looking for an expert with a solid understanding of how each social media channel works and how to optimize content so that it is engaging. As the B2B Digital Marketing Specialist, you will also be responsible for organizing and producing content that follows our clients’ brand guidelines.

Competencies:

• Consistent and self-driven to learn about social media platforms and trends. 
• Strong creative storytelling skills with a focus on visual and content aesthetics.

Skills:

• Working knowledge of SMM tools like Hootsuite, Moz, Loomly, etc.
• Working knowledge of design applications like Adobe Suite, Canva, etc., and other video editing tools.
• Adept at digital tools like Facebook Insights, Twitter Analytics, Google Analytics/Google Ad Manager.
• Adept at communicating in a professional, but unique social media “voice” for each client; directly aligned with the clients’ thought leadership and content platform.

Experience:

• Demonstrable B2B social networking experience and social analytics tools.
• Experience in managing multiple digital marketing campaigns with the ability to analyze and make recommendations on performance.
• Strong understanding of social media KPIs, keyword optimization tools, and social media algorithms.

Location and Type: 

Remote, Full-time

Evaluation:

Portfolios will be checked for expertise in the B2B domain. Please share only case studies of growth where the strategy and execution were owned end-to-end by you. Shortlisting will be followed by a video interview.