Data Engineering (Python)

• Build, deploy and manage data system and data quality to ensure accuracy of data for business performance
• Track daily real-time data for error correction, and for accuracy. Find bugs and fix software bugs
• Participate in data analysis projects: Create and maintain data sets, reports, and dashboards tosupport business decisions and performance tracking
• Design Data Management, develop and maintain data analysis documentation
• Continuously monitor data quality and identify opportunities for data quality improvements
• Collaborate with business stakeholders to identify business problems and develop data-drivensolutions
• Keep up-to-date with the latest data analysis techniques and tools
• Other tasks assigned by Line Manager

• Having experience with Redis, RabbitMQ or column-based database
• Having knowledge in Docker
• Eager to learn, actively research solutions to problems and progress at work
• Experience in data modeling, processing and analysis
• Knowledge of data processing workflow tools, such as Airflow, Nextflow
• Knowledge of big data processing tools, such as Hadoop, Spark
• Motivation to learn a new programming language and new technologies
• Strong analytical and problem solving skills
• Attention to detail and ability to work independently as well as in a team environment
• Ability to work under pressure, having good analytical and critical thinking skills

REQUIREMENTS MUST HAVE: 

• At least 2 years working in a data analytics reporting role
• Proficient understanding of Python and others basic Backend Framework (Django / Flask / Fast API)
• Proficient in using SQL, writing complex queries
• Having experience with MSSQL, MongoDB