Việt Tinh Anh ★ 2.0

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:

· The architecture and high-level design are defined by the Lead.

· You are responsible for implementing, refining, and operating data pipelines in detail.

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

Responsibilities

· Implement and maintain data pipelines end-to-end (raw → standardized → curated).

· Write production-grade Python + SQL for ETL/ELT (batch-first, incremental when needed).

· Handle schema changes, edge cases, retries, logging, and pipeline reliability.

· Optimize for correctness, performance, and cost.

· Work closely with the Lead (architecture provided) — you execute the details.

· Strong Python (clean code, data processing, error handling, testing mindset).

· Strong SQL (transformations + validation)

· Solid understanding of pipeline patterns (full vs incremental, idempotency, partitioning/batching).

· Experience with data warehouse / OLAP (e.g., ClickHouse, BigQuery, Snowflake, etc.).

· Comfortable with Linux + cloud work.

· 2 -3 years experiences in Data Engineer

· Basic English

Nice to Have

· GCP experience (GCS/BigQuery) or similar cloud. (google cloud platform)

· Orchestration tools (Prefect / Airflow).

· Parquet + data lake practices