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公益数据工程师

Shenzhen, China💼 Full-time🗓 2026-09-28

Core

Build and maintain data infrastructure, pipelines, and tooling to support product iteration, operations review, and A/B testing for SSV-related products.

Role type

Senior data engineer (data infrastructure & pipeline)

Builds

Data pipelines, data warehouse, and data tooling platforms

Domain

Technology / Data Engineering

Deliverable

production ML models

Required skills

Data warehouse modeling, data pipeline development, data quality governance, data abstraction, problem diagnosis, AI tool integration

Preferred skills

Automated data flow construction, business logic translation

Technologies

Data warehouse frameworks, data processing frameworks, AI development tools

Responsibilities

Design and optimize data infrastructure and tooling platforms; Build and maintain data pipelines for collection, processing, and scheduling; Diagnose data issues to support product strategy and A/B testing; Standardize data definitions and leverage AI for automation.

Seniority

Senior, hands-on IC

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