Maintain and design relational databases to support enterprise application and physical data modelling according to project requirements for data acquisition and security as well as customer-defined deliverables.
Develop strategies for data modeling, design, and implementation to meet stated requirements for Metadata management, Online Transaction Data Stores, Data Lake, Data Marts and Extract Transform Load environments in batch processing and real-time injection.
Create and test physical data models for a variety of business data, applications, database structures and metadata tables to meet operational goals for performance and efficiency
Carrying out day-to-day support for reporting system
Job Requirement
Educational Background: Bachelorʼs degree in Computer Science, Engineering, Information Technology, or a related field.
Experience: 2-5 years of relevant experience in data engineering or a similar role.
Technical Skills: Proficient with some of the modern relational databases such as Oracle, DB2, DynamoDB, Postgres and SQL Server
Hand-on experiences AWS DMS, Amazon Kinesis Data Stream, S3, Glue and Glue Jobs
Hand-on experiences on designing and developing ETL solution by using AWS Glue and SSIS or other ETL tools
Strong in writing TSQL, PL/SQL Good understanding of Data Modelling, processing, and warehouse techniques
Skilled at optimizing large, complicated SQL statements Capable of troubleshooting common database issues Knowledge at reporting development with SSRS and Power BI
Work location
Ha Noi
72 Nguyễn Trãi, Phường Thượng Đình, Quận Thanh Xuân, Thành phố Hà Nội
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