Data Engineering (Python)

Data Engineering (Python)
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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.
Your role & responsibilities:
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
Your skills & qualifications:
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