About AccuData Analytics

AccuData Analytics Pvt. Ltd. partners with US healthcare organizations to build secure, scalable, AI-driven digital health platforms, with expertise in cloud infrastructure, data engineering, AI systems, and healthcare compliance-first

Architecture.

About the role

We're hiring a Data Engineer to build and run ETL pipelines that migrate healthcare data from legacy source systems into a backend platform — via REST APIs and direct

PostgreSQL writes into tenant-isolated schemas.

What you'll do

● Build and maintain Python ETL pipelines that read CSV/Excel source exports and migrate them into a backend system via REST API calls and direct PostgreSQL inserts

● Design idempotent, rerun-safe migration commands (dry-run modes, mapping/result

CSVs, signature-based drift detection)

● Handle real-world messy data: inconsistent column naming, duplicate records, missing fields, normalization of phone/date/ID formats

● Write and maintain validation layers — pre-migration contract checks and post-migration read-only reconciliation

● Work with multi-tenant, schema-per-tenant PostgreSQL architecture

● Collaborate closely with the technical lead on migration scope, sequencing, and safety guardrails for sensitive data

What we're looking for





● 5-10 years of experience in Python data engineering / ETL development

● Strong SQL and hands-on experience with PostgreSQL (psycopg2 or similar)

● Experience consuming/calling REST APIs (auth, pagination, error handling, retries)

● Comfortable working with large CSV/tabular datasets and writing data validation logic

● Understanding of idempotency, batch processing, and safe rerun design in data pipelines

● Bonus: experience with healthcare or other regulated/sensitive data domains, or multi-tenant systems

Tech stack

● Language: Python 3.10+

● Database: PostgreSQL (psycopg2, multi-tenant/schema-per-tenant, batch inserts with execute

_

values )

● API/HTTP: REST APIs, requests , Bearer token auth

● Config/Env: python-dotenv , .env

-based configuration

● Testing: unittest / pytest

● Version control: Git● Cloud (nice to have): AWS (Secrets Manager, EKS/ECR)

● Backend frameworks (nice to have): Django REST Framework or FastAPI

Optional / valuable to have (pipeline evolution)●

Workflow orchestration — Airflow, Prefect, or Dagster

● Data validation frameworks — Great Expectations or Pandera

● Containerization — Docker

- ● Async/background processing — Celery + Redis

📌 Senior Data Engineer / Data Architect (New Delhi)
🏢 AccuData Analytics
📍 New Delhi