We are seeking a highly skilled Senior Data / ML Engineer to join our Data Science & Engineering team. In this role you will design, build, and maintain robust, scalable data pipelines and infrastructure on AWS, powering analytics, machine learning, and business-critical reporting. You will work closely with data scientists, analysts, and product teams to ensure reliable, performant data delivery across the organization.

The ideal candidate combines deep AWS expertise with up-to-date development practices - including AI-assisted coding, containerization, and infrastructure as code - to accelerate delivery without sacrificing quality.

‍Experience Level: 5+ Years

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.

Key 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 governa

📌 Senior Data (Kolkata)
🏢 Web Spiders
📍 Kolkata