Data Engineering (Python)

Supervise and analyze the data quality and information system to ensure adequacy, accuracy, and legitimacy of data products. Building database, monitoring system and validating their stability and efficiency.

• 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