Web Spiders
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Kolkata · On-site · 5-8 Yrs · Aug 19
Information Technology Support Services · 201 to 500 Employees · San Jose, US
Web Spiders (WS) is an enterprise software company that delivers breakthrough digital engagement using mobile apps and AI bots. The singular focus of the company is to drive forward 'user engagement' using mobility and Artificial Intelligence-led Bots. Web Spiders is located in New York City with International offices in London, Singapore and India. WS is best known for the following products: ZOE: The Leading Enterprise Chatbot Platform GECKO: The Leading AI-based Video Interview Bot e2m.live - The Leading Enterprise Event Engagement App EVA: Industry-first Event Chatbot - A part of e2m.live platform The associated consulting practice includes a full-stack digital media services unit including Sitecore and Drupal (Acquia). WS also provides end-to-end Digital Marketing services including consultancy, visual and design support, social media management, search marketing, A/B testing services and EDM services. WS Group clients include leading Fortune 2000 companies as well as Government Agencies.
Hiring: Engineering
What employees say
+ 1. Company Cares 2. Good Team
− 1. They show that they care 2. HR is on different Dimension
More reviews on the company profile.
Interview experience · Network Administrator
MCQ round and interview round and then the final selection after this round . it is a good MNC company in Kolkata. web development fresher learn good knowledge from here
Average difficulty · India · 33 reports
More interview insightsJob description
Overview
We are seeking a highly skilled Senior Data / ML Engineer to join our Data Science &
Responsibilities
- Design, develop, and optimize large-scale ETL/ELT pipelines using AWS services such as EMR (Spark), Glue, Lambda, and Step Functions.
- Orchestrate complex data workflows with Apache Airflow (Amazon MWAA or self-managed), ensuring reliability, observability, and SLA adherence.
- Architect and manage data storage solutions across Amazon S3 (data lake), Redshift (data warehouse), and RDS (relational databases), applying best practices for partitioning, compression, and cost optimization.
- Build and maintain containerized data applications and microservices using Docker and Amazon ECS/Fargate, including CI/CD automation.
- Develop event-driven and serverless data processing solutions with AWS Lambda, SQS, SNS, and EventBridge.
- Leverage AI-powered coding assistants and IDE integrations (e.g., Kiro, Cursor, Claude Code) to accelerate development, code review, and documentation.
- Implement data quality frameworks, monitoring, and alerting to ensure data integrity across all pipelines.
- Collaborate with Data Scientists to productionize ML models and feature pipelines.
- Define and enforce data governance, security, and access-control policies in line with organizational and regulatory standards.
- Contribute to infrastructure-as-code initiatives using Terraform, CloudFormation, or CDK.
Qualifications
- Location: Kolkata (Rajarhat–Newtown)
- Mode of Working: Work from Office
- Timing: Ability to work in the US Eastern time zone. This may be relaxed to half day IST and half day US EST - based on project needs.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of professional experience in data engineering, with at least 3 years of hands-on AWS production workloads.
- 3+ years of experience with AWS Services: EMR (Spark/Hadoop), Apache Airflow, S3, Redshift, RDS, Lambda, Sagemaker and ECS.
- Solid experience with Docker (building, optimizing, and deploying containers) and container orchestration.
- Proficiency in Python and SQL;
- Demonstrated ability to use AI-assisted development tools within modern IDEs for rapid prototyping, code generation, testing and debugging.
- Strong understanding of data modeling, data governance, and data security best practices.
- AWS certifications such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect are a plus.
- Exposure to ML Ops workflows, feature stores, or model serving pipelines (e.g., SageMaker).
- Knowledge of cost-optimization strategies for large-scale AWS data workloads.
- Compute &
- Processing: EMR (Spark), Lambda, ECS/Fargate, Glue, Sagemaker
- Orchestration: Apache Airflow (MWAA), Step Functions
- Storage &
- Warehousing: S3, Redshift, RDS (PostgreSQL / MySQL)
- Containers &
- DevOps: Docker, ECS, GitHub Actions
- AI-Assisted Dev: Cursor, Kiro, Claude Code
- Languages: Python, SQL, Bash
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Job application FAQ
Last updated 31 August 2026
- How do I apply for Senior Data / ML Engineer at Web Spiders?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Web Spiders may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Data / ML Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Data / ML Engineer remote or on-site in Kolkata, West Bengal?
- This listing is marked on_site with location Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this Senior Data / ML Engineer role at Web Spiders?
- This is a senior Senior Data / ML Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.