DATA ENGINEER

- Develop, maintain, monitor and improve system - Implement Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data scenarios - Develop batch processing, streaming and integration solutions - Automate Azure Data Factory pipelines - Manage source data access security - Configure authentication and authorization - Manage and enforce data policies and standards - Monitor databases and data processing for a specified scenario - Implement big data real-time processing and integration solutions

* QUALIFICATIONS - Education: Bachelor / Engineer of IT or Data Science or equivalent degree - Experience: Minimum 2 Years in Azure Data Engineering - MS Azure Data Engineer (MS Certified) is preferred. - Minimum 2 to 5 years experience in successfully role of Data Engineer * COMPETENCIES - Very strong on SQL-PL SQL-Spark SQL. - Interaction with No SQL Databases - Interaction with Event Hub, IoT Hub Databases - Files Processing XML, CSV, Excel, Jason, etc. formats - Structured and Non-Structured Data processing - Data ETL Capabilities. - Knowledge of Distributed Big Data Processing - Data Warehouse and Data Lake Implementation experience in past. - Interaction with REST APIs, Web Services * LANGUAGES: Vietnamese native with proficiency in English. * OTHER REQUIREMENTS: - Customer Focus - Good verbal & written English communication - Ability to work with globally diverse teams. - Readiness to work in flexible work timings. - Abstract & Analytical Thinking. - An interpersonal savvy. A very good team player - Nimble learning. Willingness to explore and adapt

- Lots of training & development opportunities - 13th-month salary & annual performance bonus - Health-care insurances served by international provider