1. Lead the design, development and support of Database, BigData and Data Warehouse solutions.
2. Develop Conceptual and physical model Data Models.
3. Understand and work with multiple data sources to meet business rules and supports Data Scientist analytical needs.
4. Develop code on Big Data Analytics and large data processing using Python, Hadoop, and Hive
5. Develop BigData eco systems components like HBase. HDFS, Zookeeper, Hive and MapReduce
6. Develop BigData solutions with NoSQL databases like HBase
7. Design and model Data Warehouse and BI applications
8. Develops ETL processes, ETL control tables, error logging, auditing, data quality, etc.
9.Experience of business system microservice design based on springboot / springcloud technology.
10.Experience of message middleware and distributed transaction management internet technology.
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