You build the data foundations that AI and analytics depend on: pipelines that collect, clean and organize client data so models and dashboards can trust it.
What you will do
- Build and run batch and streaming pipelines for data engineering projects
- Design data models in warehouses and PostgreSQL
- Prepare clean data for analytics and BI dashboards and for AI systems
- Add data quality checks, monitoring and documentation
- Work with AI engineers on document processing and retrieval data
What you bring
- 2+ years of data engineering
- Strong SQL and Python
- Experience with ETL or ELT tools and orchestration (for example Airflow)
- A cloud data platform on AWS, Azure or Google Cloud
- Clear written English for working with remote teams and clients
Good to have
- dbt, Spark or Kafka
- BI tools such as Power BI, Looker or Metabase
- Vector databases or search indexes
How we work
Remote, from anywhere in India, 9 am to 6 pm IST. You work in a small team with a lead engineer, ship in short cycles and review each other's code. Projects come from clients in India and around the world.