Business Intelligence Engineer

We are looking for a Mid- level Data Engineer to work closely with the platform architect to build and scale a data platform from the ground up.
In this role:

You are responsible for implementing, refining, and operating data pipelines in detail.
The architecture and high- level design are defined by the Lead.

This is a hands- on engineering role, not analytics- only, not dashboard- focused.
Responsibilities

Write production- grade Python + SQL for ETL/ELT (batch- first, incremental when needed).
Work closely with the Lead (architecture provided) — you execute the details.
Implement and maintain data pipelines end- to- end (raw → standardized → curated).
Optimize for correctness, performance, and cost.
Handle schema changes, edge cases, retries, logging, and pipeline reliability.

Requirements

Comfortable with Linux + cloud work.
Strong SQL (transformations + validation)
Basic English
Solid understanding of pipeline patterns (full vs incremental, idempotency, partitioning/batching).
Experience with data warehouse / OLAP (e.g., ClickHouse, BigQuery, Snowflake, etc.).
2- 3 years experiences in Data Engineer
Strong Python (clean code, data processing, error handling, testing mindset).

Nice to Have

GCP
experience (GCS/BigQuery) or similar cloud. (google cloud platform)
Parquet + data lake practices.
Orchestration tools (Prefect / Airflow).

Laptop, Chế độ bảo hiểm, Du Lịch, Chế độ thưởng, Chăm sóc sức khỏe, Đào tạo, Tăng lương

Cập nhật gần nhất lúc: 2026-01-31 13:15:03