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Senior Data Engineer Mobile App/ Data Platform

MAPLE LABS · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Thành phố Thủ Đức, Hồ Chí Minh, Hồ Chí Minh

Overview

  • Build and operate end-to-end ELT/ETL data pipelines (batch & near-realtime) to ingest data from MMPs (Adjust, Qonversion), Ad Networks (Google Ads, AdMob, AppLovin, Mintegral, Apple Search Ads,...), and in-app event tracking into the Data Warehouse.
  • Design schema architectures (Star/Snowflake), optimize complex analytical queries, partitioning, clustering, and storage costs on Google BigQuery and modern columnar databases.
  • Build, scale, and maintain workflow orchestrations using Apache Airflow, Celery, Redis, and Docker on Cloud environments (GCP/Compute Engine).
  • Develop custom Model Context Protocol (MCP) servers, agent tools, and data APIs to connect LLMs and AI IDEs directly with data warehouses, documentation vaults, and internal systems.
  • Construct reliable feature stores and datasets for Machine Learning/AI initiatives (LTV forecasting, payback modeling, anomaly detection) and assist in model serving pipelines.
  • Implement data observability, automated monitoring, and data quality checks; develop internal data tools and self-service dashboards using Streamlit and Metabase/Looker Studio.
  • Establish engineering best practices, data modeling standards, and comprehensive documentation (Data Dictionaries, Architecture Blueprints).
  • Your Skills and Experience

Requirements

  • 3+ years of hands-on data engineering experience building and maintaining production data pipelines.
  • Strong proficiency in Python for high-performance data processing and advanced SQL (performance tuning, window functions, complex transformations).
  • Solid experience with Google BigQuery (or modern columnar stores like ClickHouse, Snowflake, Redshift), including query optimization and cost management.
  • Practical experience with Apache Airflow, Celery/Redis, Docker/containerization, CI/CD workflows, and Cloud platforms (GCP preferred).
  • AI-First & Vibe Coding Mindset: Daily hands-on experience using AI coding assistants and AI IDEs (Cursor, Claude Code, Antigravity, etc.) to rapidly prototype, build, and ship production-grade code at high velocity.
  • Hands-on experience or strong interest in building/integrating MCP (Model Context Protocol) servers, custom tools, and AI workflows for data engineering tasks.
  • Strong ownership, problem-solving abilities, clear communication, and effective collaboration with Product Owners, Data Analysts, and Leadership.
  • Nice to have:
  • Domain knowledge in Mobile Apps, Games, or Digital Advertising / AdTech (MMP attribution, Ad Network APIs, eCPM, ROAS, LTV).
  • Experience building internal web tools or BI applications using Streamlit.
  • Familiarity with ML lifecycles, BigQuery ML, or LLM serving infrastructure and token monitoring.
  • Experience with workflow automation APIs (Google Apps Script, Slack webhooks, third-party integrations).
  • Why You'll Love Working Here
  • Why You'll Love Working Here:

Benefits

BonusCompany trips

Summary of facts from the official posting. View original ↗

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