Full Stack Engineer

About the Role

We are looking for a mid-level Full-Stack Engineer (Data Products) to
build and operate data-driven applications end-to-end. This role blends data
ingestion and pipeline engineering with backend API development
(Node.js) and frontend delivery (React/HTML), deployed and operated
on AWS.

  You will own features from source ingestion ? transformation/storage ?
API exposure ? UI delivery ? production monitoring.

  Key Responsibilities

  Data Ingestion Processing

• Build and
  maintain ingestion pipelines from APIs, files, and operational systems
  into our platform.



• Implement
  robust transformation logic: validation, deduplication, idempotency,
  enrichment, and reconciliation.



• Design data
  models and storage strategies for SQL (PostgreSQL/MySQL) and MongoDB,
  including indexing and query optimization.



• Orchestrate
  workflows using Airflow (or equivalent): scheduling, dependencies,
  retries, alerting, backfills.

Backend (Node.js / TypeScript)

• Develop and
  maintain backend services and APIs using Node.js (preferably
  TypeScript).



• Build scalable
  REST APIs (and/or GraphQL if applicable): pagination, filtering, auth,
  role-based access, and rate limits.



• Implement
  background processing patterns (queues/workers/cron) for ingestion and
  heavy jobs.



• Write clean,
  testable modules with logging, error handling, and performance profiling.

Frontend (React / HTML)

• Build
  user-facing web UIs using React (and occasionally HTML/CSS pages),
  focused on operational workflows.



• Implement
  data-heavy UI components: tables, filters, search, forms, upload/download,
  status views, and audit trails.



• Integrate
  frontend with backend APIs with strong UX around loading states, errors,
  and edge cases.

AWS, Deployment Operations

• Deploy and
  operate services on AWS, ensuring reliability, security, and cost
  awareness.



• Work with AWS
  services such as S3, IAM, EC2/ECS/EKS/Lambda (as applicable), RDS,
  and CloudWatch.



• Containerize
  services using Docker; contribute to CI/CD pipelines and
  environment promotion practices.



• Monitor
  production: logs, metrics, alarms, pipeline failures; perform RCA and
  implement fixes.

  Engineering Practices

• Use Git/GitHub
  for code reviews, branching strategies, PR hygiene, and collaboration.



• Maintain
  documentation: system diagrams, onboarding notes, runbooks, pipeline/data
  flow docs.



• Collaborate
  with product, operations, and engineering teams to ship reliable features
  quickly.

 

Required Skills Qualifications (Must Have)

• 3?5 years ? experience
  in software engineering with hands-on delivery across backend + data +
  cloud.



• Strong coding
  ability in Node.js (TypeScript preferred); ability to design and
  maintain APIs/services.



• Solid
  experience building UIs with React and integrating with backend
  APIs.



• Practical
  experience in data ingestion / ETL/ELT concepts (idempotency,
  schema evolution, data quality).



• Strong SQL
  skills (joins, aggregations, query tuning) and familiarity with MongoDB
  (schema + indexing + aggregation basics).



• Hands-on
  experience on AWS (deployment + IAM basics + monitoring/logging).



• Experience
  with Docker and CI/CD fundamentals.



• Strong
  debugging mindset: logs, metrics, profiling, root-cause analysis.



• Good
  communication and ownership; comfortable working with ambiguous
  requirements.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.