About the Role

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

- 35 years experience in software engineering with hands-on delivery across backend + data + cloud.

- Solid 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 posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Full Stack Engineer (Tamil Nadu)
🏢 Synergy Group
📍 Tamil Nadu