Data EngineerSkylink Studio

Nơi làm việc: Hồ Chí Minh
Ngành nghề: IT phần mềm
Thu nhập: Thỏa Thuận
Hình thức: Toàn thời gian
Ngày đăng: 06/12/2024
Hạn nộp: 06/01/2025

Mô tả công việc

Tóm tắt công việc
Design, build, and maintain large-scale data storage systems (Data Warehouse, Data Lake) to support analytics and game product optimization.
Develop and optimize ETL/ELT pipelines to ensure automatic data collection (streaming or daily), processing, and readiness for use.
Integrate diverse data sources (game analytics, marketing, monetization) from internal platforms and third-party tools (Firebase, Appsflyer, Unity Analytics, etc.).
Optimize data processing performance and improve the accuracy and responsiveness of related systems, such as data pipelines and data warehouses.
Support the creation of dashboards and automated reports for departments like Product, Marketing, and Game Design.
Collaborate closely with Game Design, UA, and Monetization teams to develop workflows and architecture for data pipelines and data marts, enabling player behavior analysis and enhancing the game experience.
Ensure data security and compliance with company standards and legal regulations.
Open, comfortable working environment, encouraging personal development.
Trained in programming skills according to the lasted international standard
Working with large products, international quality and experienced team.
Have the opportunity to study abroad, at international conferences about App/Games.
Salary increases are reviewed regularly based on capacity and work efficiency.
13th Month Salary.
Bonus based on product performance.
Enjoy all other benefits according to labor laws.
Annual Travel.

Yêu cầu

Experience:
Junior: At least 1 year of experience in a Data Engineer or equivalent role.
Mid/Senior: 2-4 years of experience designing and implementing large-scale data processing systems.
Skills:
Proficient in data programming languages: Python, SQL, Scala, or Java.
Strong knowledge of relational databases (MySQL, PostgreSQL) and non-relational databases (MongoDB, Cassandra).
Experience with big data processing tools: Hadoop, Spark, or Airflow.
Familiarity with cloud services (AWS, GCP, Azure), especially tools like Docker, BigQuery, Redshift, or Dataflow.
Expertise in data modeling, query optimization, and Data Warehouse system design.
Experience with visualization tools: Tableau, Power BI, or Looker is a plus.
Other Requirements:
Logical thinking, problem-solving skills, and the ability to work independently.
Strong teamwork and communication skills, especially with non-technical teams.
Interest in the gaming industry; candidates with knowledge of game data analytics (churn rate, ARPU, LTV) are preferred.

Thông tin khác

Python
Big Data
MS SQL
Java
PostgreSQL
MySQL
MongoDB
System Design
Cassandra
Hadoop
Docker
Apache Spark
Data Modeling
Scala
AWS Redshift
MS Azure
Tableau
AWS
Data Warehouse
BI
MS Power BI
GCP
Dataflow
Apache Airflow
Google BigQuery

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