Niva Health is looking for a Full-Stack Data Engineer to build and maintain the data solutions that power reporting and decision-making. This is a hands-on role where you'll work across the full data lifecycle, from ingestion to dashboards, solving practical problems that directly impact healthcare operations.

What You'll Do

Design, build, and maintain data solutions that power reporting and decision-making.
Build and maintain data pipelines using Google Cloud Platform (BigQuery, Cloud Functions, Cloud Composer, Cloud Scheduler).
Clean, transform, and organise data from multiple sources like APIs, spreadsheets, and internal systems.
Automate ETL/ELT workflows to improve reliability and efficiency.
Write Python (and some Bash) scripts to support data processing and internal tools.
Build and maintain dashboards and KPI reports using Looker Studio.
Prepare datasets for simple predictive or forecasting use cases.

What We're Looking For

2+ years of experience in data engineering, analytics engineering, data science, or software engineering.
Comfortable working with GCP, especially BigQuery.
Confident use of Python for data processing and automation.
Solid SQL skills and understanding of data modelling basics.
Experience building or maintaining data pipelines, batch or streaming.
Experience working with dashboards or BI tools (Looker / Looker Studio preferred).
Enjoy working across both technical backend tasks and user-facing reporting.

Nice to Have

Experience with Apache Airflow / Cloud Composer.
Exposure to Apache Beam.
Familiarity with Vertex AI, AutoML, or basic ML workflows.
Experience supporting operational or healthcare data.

Technical Stack

Google Cloud Platform: BigQuery, Cloud Functions, Cloud Composer, Cloud Scheduler
Languages: Python, Bash, SQL
Analytics: Looker Studio
Frameworks: Apache Airflow, Apache Beam
AI/ML: Vertex AI