Summary

Designs and implements REST APIs, backend services, and data access layers. Develops and maintains data pipelines (Excel/CSV import/export, DB migrations). Integrates AWS services (Lambda/S3/ECS). Handles debugging, incident analysis, and performance tuning.

Mandatory Skills

1. TypeScript / JavaScript
2. Node.js (Express.js)
3. PostgreSQL (SQL, query optimization) & Drizzle ORM
4. ETL / data pipeline design (Node.js Streams, exceljs, csv-parse)
5. Database schema migrations (Drizzle Kit)
6. AWS: Lambda, S3, ECS, ECR — operating & deploying data-processing services
7. IAM, Secrets Manager — access rights & credential handling
8. Integration tests (Jest, DB test setups) for data pipelines
9. Docker — containerizing batch/ETL jobs for ECS





Advantageous Skills

- Python (for AWS Lambda functions)
- CloudWatch (log analysis for pipeline debugging)
- VPC basics (network access DB <-> Lambda)
- GitHub Actions (CI/CD for migration/deployment pipelines)
- Node-Cron/scheduling, Redis caching
- Unit tests (Jest) for transformation functions
- Report generation (PPTX/Excel export)

Soft Skills

- Analytical thinking for complex data structures
- Diligence around data quality/consistency
- Transparent documentation of interfaces

📌 Datahub- Backend Developer / Data Engineer (India)
🏢 BMW TechWorks
📍 India