腾讯招聘Data Engineer Intern 104963
招聘职位：
Data Engineer Intern 104963 搜索同类职位
岗位职责：
1. Responsible for the raw data pipeline for all Tencent overseas games, ensuring scalability, reliability, and efficiency.
2. Collaborate closely with upstream engineering teams to optimize data ingestion, processing, and storage.
3. Partner effectively with downstream stakeholders, including data analysts, data scientists, and ML engineers, to enable data-driven decision-making and advanced analytics.
4. Drive improvements in data pipeline performance, quality, and maintainability by implementing best practices and innovative solutions.
Work Location: Singapore-CapitaSky
岗位要求：
1. Technical experience designing, building, and maintaining distributed data processing platforms.
2. Experience working with batch or streaming distributed data processing technologies. e.g. Hadoop, MapReduce, Spark, Flink, Kafka, Presto, etc. for building efficient & large-scale data pipelines.
3. Data modeling experience designing data warehouse table schemas and logging schemas.
4. Proficiency in at least one high-level programming language (Java, Scala, Python, Go or equivalent).
5. Experience with large, complex, highly dimensional data sets; hands-on experience with SQL.
6. Experience working with cross-functional teams to collect business requirements, build consensus, and manage expectations.
7. You are self-directed and capable of operating amidst ambiguity.
8. You are humble, continually growing in self-awareness, and possessing a growth mindset.
9. You are curious and have excellent written and verbal communication as well as problem-solving skills.
1. Responsible for the raw data pipeline for all Tencent overseas games, ensuring scalability, reliability, and efficiency.
2. Collaborate closely with upstream engineering teams to optimize data ingestion, processing, and storage.
3. Partner effectively with downstream stakeholders, including data analysts, data scientists, and ML engineers, to enable data-driven decision-making and advanced analytics.
4. Drive improvements in data pipeline performance, quality, and maintainability by implementing best practices and innovative solutions.
Work Location: Singapore-CapitaSky
岗位要求：
1. Technical experience designing, building, and maintaining distributed data processing platforms.
2. Experience working with batch or streaming distributed data processing technologies. e.g. Hadoop, MapReduce, Spark, Flink, Kafka, Presto, etc. for building efficient & large-scale data pipelines.
3. Data modeling experience designing data warehouse table schemas and logging schemas.
4. Proficiency in at least one high-level programming language (Java, Scala, Python, Go or equivalent).
5. Experience with large, complex, highly dimensional data sets; hands-on experience with SQL.
6. Experience working with cross-functional teams to collect business requirements, build consensus, and manage expectations.
7. You are self-directed and capable of operating amidst ambiguity.
8. You are humble, continually growing in self-awareness, and possessing a growth mindset.
9. You are curious and have excellent written and verbal communication as well as problem-solving skills.
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