- Maintain overseas data centers, including ensuring database stability and high availability, as well as stabilizing and optimizing the big data infrastructure;
- Responsible for data-driven decision-making for overseas business, including the development and maintenance of real-time and offline metrics, closely collaborating with project teams for decision analysis;
- Select and optimize the infrastructure of data centers, and communicate with third-party vendors;
- Implement data security and privacy measures to protect sensitive information and ensure compliance with regulatory requirements;
- Stay up-to-date with emerging trends and technologies in big data, machine learning, and data engineering, and evaluate their potential impact on our business and technical architecture.
- Bachelor's degree in Computer Science, or related field;
- Strong command of the Linux operating system, with expertise in at least one scripting language such as Shell or Python;
- Advanced proficiency in SQL language, coupled with extensive experience in performance tuning;
- Expertise in mainstream databases including Oracle, MySQL, Redis, and MongoDB;
- Deep familiarity with cloud platforms such as Alibaba Cloud, GCP, and AWS, along with robust troubleshooting skills;
- Comprehensive understanding of mainstream big data technologies like Hadoop, Doirs, Starrocks, and Kafka;
- Proficient in cloud-based big data solutions on platforms such as Alibaba Cloud, GCP, and AWS, with a proven track record in tuning and troubleshooting;
- Proven experience in designing, implementing, and managing big data solutions, including data pipelines, storage systems, and processing frameworks;
- Proficiency in both English and Chinese, to facilitate effective communication with Chinese-speaking counterparts.
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Data Engineer - Singapore - H2 GAMES PTE. LTD.
Description
Roles & ResponsibilitiesWe are seeking for a Big Data Engineer/Data Architect to join our dynamic data support team. This candidate will be responsible for various professional fields including big data, data warehousing, and data analytics, supporting the company's petabyte-level data services.
Job Requirements:
Machine Learning
MongoDB
Oracle
Big Data
Hadoop Database
Pipelines
Architect
Data Management
Data Governance
Data Engineering
SQL
Python
Data Architecture
Technical Architecture
Performance Tuning
Redis
Data Analytics
Data Warehousing
Databases
Linux