IT Data Engineer/Administration

Manage user rights and permissions.
Establish and maintain backup and recovery processes.
Responsible for working with other stakeholders to support data pipelines, convert data models to data products.
Obtain and integrate data and information from various sources into the centralized platforms, solutions, and statistical models.
Write scripts and ingest raw data to build and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis.
Identify and resolve performance and capacity issues.
Maintain associated non- referential data.
Ensure data assets are organized and stored in an efficient way so that information is easy to access and retrieve.
Responsible for developing programs and automated processes to cleanse, integrate and evaluate large datasets from disparate sources and implement business logic to build data warehouse to serve business functions including BI dynamic reports and other applications requested by business operation.

Expertise in database server specification, performance tuning, analysis and optimization.
Experience with database technologies (e.g. SQL, NoSQL), business intelligence (preferably PowerBI) and programming languages.
Excellent critical thinking, organizational and communication skills.
Experience working in Agile teams to support digital transformation projects, having a clear understanding of Agile principles, practices and Scrum methodologies.
At least 2 years of working as a data engineer/administrator.
Deep knowledge of SQL database design.
Minimum bachelor’s degree in computer science, Software Engineering, Business Information System, or Information Technology.
Experience in designing and building dimensional data models, ETL processes, applied data warehouse concepts and methodologies, optimized data pipelines and assisted the architect as needed.
Familiarity with big data analysis.
Understanding of Information Security principles to ensure compliant handling and management of all data.
Experience monitoring complex system and solving data and systems issues having a consistent and algorithmic approach to resolving them.
Ability to work with database developers, engineers, and different operations and applications engineering teams to help them to identify, analyze, and resolve database performance issues.

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Cập nhật gần nhất lúc: 2024-09-17 16:00:03