Data Engineer

Mô tả công việc:

(Mức lương: 50 - 65 triệu VNĐ)

• Inventory current SOCOM data sources by API, crawl, manual export, frequency, owner, quality and business criticality.
• Design and build ingestion pipelines from TikTok media/video API, manual exports, crawl outputs, Stickler exports and creator/affiliate datasets.
• Create canonical data models for brand, platform, store, campaign, creator, MCN/TAP, livestream session, SKU, content asset, conversion/order, commission, payout and media spend.
• Implement data validation, transformation, lineage, freshness monitoring and reconciliation checks.
• Build semantic-layer tables for Growth Cockpit, CreatorOS matching, LiveOps reporting and AI-agent prompts.
• Partner with the Data Quality / QC Analyst to define metric definitions and accuracy thresholds.
• Support migration from crawl/manual sources to APIs where available; document data contracts for BI, AI and app engineers

Chức vụ: Nhân Viên/Chuyên Viên

Hình thức làm việc: Toàn thời gian

Quyền lợi được hưởng:

• Salary Range: Upto 65 Million VND
• Bonus: 13th Month Salary, Annual Performance Bonus
• Allowances: Meal Allowance, Mobile Phone Allowance. Total Allowance: Approximately 860,000 VND/month
• Annual Leave: Including Annual Leave, Sick Leave, Outing Leave. Total: Approximately 19 days/year
• Work From Home Policy: 4 WFH days/month, Maximum 1 day/week
• Healthcare Benefits: Healthcare Program for Employees, 50% Healthcare Support for Family Members, 100% Coverage for Manager Level and Above
• Social Insurance: Full Salary Social Insurance Coverage

Yêu cầu bằng cấp (tối thiểu): Đại Học

Yêu cầu công việc:

• Education: Bachelor’s degree in a relevant field or equivalent practical experience.
• Experience & Industry Background: 3+ years in data engineering, ETL/ELT, data warehousing, analytics engineering or data platform development.
• Strong SQL and Python (or similar data-processing language).
• Cloud data warehouses/lakes, orchestration, data modeling and data-quality practices.
• Able to turn messy business exports into governed datasets; clear documentation habits.
• Technican Proficiencies: Languages: SQL, Python.
• Pipelines: dbt, Airflow / Dagster, Azure Data Factory.
• Warehouse: Databricks / BigQuery / Snowflake / PostgreSQL.
• Preferred Experience: E-commerce, marketplace, advertising, creator/affiliate, livestream or order/fulfilment data.
• API ingestion, scraping/crawling outputs and data-freshness SLAs

Yêu cầu giới tính: Nam/Nữ

Ngành nghề: Dữ Liệu - AI - Học Máy,Hạ Tầng - Mạng,Kỹ Thuật Sản Xuất - Bảo Trì

Đại Học

2 - 3 năm