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Recruitment DATA ENGINEER STAFF at Ho Chi Minh City - Nhà Máy Bia HEINEKEN Việt Nam

20,000,000 - 30,000,000 VND 0 VND

20,000,000 - 30,000,000 VND

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Level

Deadline

30/04/2025

Amount of Vacancies

1 people

Gender

No gender requirement

Experiences

From 5 to 6 year

Degree

bachelor degree

Workplace

Industry

IT - Software / IT - IT Software

work content

Structure end-to-end processes of data extraction, transformation, and storage to deploy models and analytical solutions in real-time and offline analytic processing.
Handle activities such as quality assurance, data migration and integration, and solution deployment to ensure the business gets the best value.
Implement, maintain, and further develop ETL processes, data lineage, and observability across large-scale data ingestion from a variety of sources.
Design and implement data flows to ensure efficient and reliable data movement (eg unit and integration tests).
Provide technical support in understanding business problems and designing smart data products.
Collaborate within an agile culture, contributing to the team's success.
Maintain strong relationships with stakeholders to ensure collaboration and delivery of objectives.
Continued self-development and research of best-in-class analytical approaching.

Education & Experience:

BA/MSc in Statistics, Mathematics, or a related field; equivalent work experience accepted.
5+ years in a pure analytical/science role.

Experience / Skills (all levels):

Excellent written and verbal communication skills.
Significant commercial experience in a similar position.
Proficiency with Python (inc. strong data analytics skills using Python).
Excellent software engineering skills (including unit testing, integration testing, OOP).
Experience working with large datasets through Spark and RDBMS.
Solid knowledge of PySpark with the ability to apply it to write Spark applications as well as analyze data in a distributed environment.
Experience working with a large development team (CI/CD)
Very good SQL skills and ability to extract information from databases.
Ability to build and maintain strong collaborative relationships with stakeholders across the business.
Demonstrated ability to effectively manage multiple simultaneous projects and deliverables.
Communicate effectively with various stakeholders, tailoring your message to your audience's level of technical understanding.
Excellent written and verbal English and local language.

Nice to have:

Experience with Azure development environment.
Experience in building/releasing Infrastructure as Code (eg Terraform)
Experience with containerization technologies and orchestrators (eg Docker and Kubernetes).
Understanding of machine learning models, deployment, and monitoring.
Interest in machine learning and/or desire to develop skills
Experience working in agile organizations.

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