Top 3 Reasons To Join Us The Job

Design & build RESTful APIs using Django / FastAPI
Build & maintain ETL/ELT pipelines for ingesting and transforming data from e-commerce platforms (batch & incremental)
Design & optimize data warehouse and data marts powering core product features
Ensure data quality, reliability, and consistency through validation, monitoring, and robust failure handling (retries, idempotency)
Implement and maintain data lineage, pipeline observability, and documentation
Optimize data models and query performance for large-scale, production workloads
Deliver and maintain stable, well-defined datasets for product and analytics consumption
Collaborate with backend team on data ingestion architecture and end-to-end data flow

Your Skills and Experience

2–4 years experience in Data Engineering / Data Platform
Strong proficiency in Python & SQL (PostgreSQL) for data processing and query optimization
Experience with ETL pipelines & orchestration (Airflow or similar)
Experience working with e-commerce data
Experience building AI agents / RAG-based data analytics systems
Bachelor’s degree in Computer Science, IT, Engineering, or related field

Nice to Have

Hands-on experience with dbt
Experience with message queues or streaming systems (e.g., Kafka, RabbitMQ)
Familiarity with analytical and NoSQL databases (ClickHouse, MongoDB) and object storage (S3)
Hands-on experience ingesting data from e-commerce platforms/APIs (e.g., Shopee, TikTok Shop)

Why You'll Love Working Here

Data/ Backend Enginer Python/ SQL

Job Description