Data Tech Development Manager
Shanghai, Shanghai, China
CNY 240K-360K (estimate) Mid-level Full Time
Tasks
- Assess operations and non functional requirements
- Build enterprise data models
- Design low latency high throughput scalable applications
- Develop batch processing
- Develop real-time stream processing
- Engineer data transformations for business requirements
- Implement automated integration testing
- Implement automated unit testing
- Implement end to end data services
- Improve platform standards
- Lead continuous integration
- Manage end to end data transformation modules
- Mentor data engineers and SMEs
Perks/Benefits
Skills/Tech-stack
Apache Flink | Apache Spark | Auto Scaling | Batch Processing | Cloud services | Data Governance | Data Lineage | Data Modeling | DataWorks | Distributed Computing | ECS | ETL | HBase | HDFS | Hadoop | High Throughput | High-Throughput Systems | Hive | Hologres | Java | Kafka | Low Latency | Low-Latency Systems | MaxCompute | Metadata Management | NoSQL | OSS | Partitioning | Performance Tuning | Python | Real Time | Real-time Streaming | SQL | Scala | Star Schema | Stream processing | Three Normal Form
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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