Data Operation

Responsibilities: Responsible for (i) Operating data systems (Data Lake/Data Warehouse/ Datamart/ Lakehouse) as required; (ii) Operating data processing systems, reporting systems; (iii) Reviewing, improving and supporting testing of data processing flows, reporting, and supporting ITSM systems; (iv) Implementing changes in the Production environment, performing DRP on systems as required; (v) Researching and studying new trends and tools to provide appropriate advice and solutions for data systems and operations.

1. Operate data systems (Data Lake/Data Warehouse/ Datamart/ Lakehouse) and report on demand (20%)

• Operate data systems (Data Lake/Data Warehouse/ Datamart/ Lakehouse)
• Operate reporting and BI systems

2. Operate data processing systems (40%)

• Operate ETL, CDC, Kafka systems and services

3. Review, improve and support testing of data processing flows, reports, and direct support of ITSM systems (20%)

• Review and improve slow data processing flows
• Review and improve reports
• Support testing of data, reports
• Direct support of ITSM systems

4. Implementation Apply changes to the Production environment, perform DRP of systems as required (15%)

• Implement changes to the Production environment as required.
• Perform DRP of the department s systems and other related department s systems

5.Research and study new trends and tools to provide appropriate advice and solutions for systems and operations (5%).

6.Participate in the implementation and development of related projects or perform other tasks assigned by management.

Requirements:

• Bachelor s degree or higher in Computer Science, Information Technology or Mathematics
• Minimum 7 years (Senior Specialist)/5 years (Specialist)/3 years (Senior Officer)/2 years (Officer) of working experience in the field of application development, system integration, data operations
• Experience working with development languages: Oracle Form/Report, C#, Java, PL/SQL, Python, PySpark, …
• Experience working with Oracle database, or Microsoft SQL Server, MySQL, PostgreSQL, MongoDB, Redshift, …
• Experience and knowledge of ETL (IBM Datastage, DBT, Apache Spark, AWS Lambda, AWS Glue, AWS EMR, AWS Kinesis, AWS Data Firehose, …), Report & BI (Oracle, Cognos, Power BI, Tableau, Jasper, ...), …
• Experience with AWS: AWS EC2, AWS S3
• Coordination and Monitoring: Airflow, AWS Step Functions, AWS Cloudwatch, AWS Eventbridge
• Analytical and problem solving skills
• Teamwork skills.