Data Engineer - Singapore - ANTAES ASIA PTE. LTD.

ANTAES ASIA PTE. LTD.

Verified Company

Singapore

1 week ago

Posted by:

Wei Jie

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Description

Contribute to IT projects in the Energy industry for Antaes clients

The Data Engineer is responsible for developing methods that transform raw data from different sources into useful, consistent, and machinereadable formats
The Data Engineer will also develop, test, and optimize architectures that enable data extraction and transformation for modeling and analytics, as well as align the data processing systems with business goals;
The Data Engineer shall coordinate the efforts required to ensure that the infrastructure, technology, and engineering requirements necessary for data analytics, data visualization, and data modeling are established for all phases of the asset lifecycle;
The Data Engineer shall ensure that functional requirements for data acquisition and data engineering and data management are duly applied in all phases of the asset lifecycle, and coordinate the implementation of relevant interfaces, both in terms of backend solutions and transfer of data to the assigned systems.
The Data Engineer is responsible for the management of the Company's apps and data in the cloud and all the technical tasks involved in planning, architecting, migrating, monitoring, and managing a Company's cloud systems.
Contribute to the promotion of Antaes services on top of assistance provided to clients

Job Requirements:

Bachelor's degree in Computer Science, Engineering, or a related field.
Five (5) years of experience in data engineering or architecture, with three (3) years of experience in cloud engineering
Minimum 3+ years of experience in data engineering, database administration, Azure database, or a similar role.

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Proficiency in at least one of the programming languages, such as Java or Python.
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Ability in managing and communicating data warehouse plans to internal clients.
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Experience designing, building, and maintaining data processing systems.
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Proficient in data processing system and pipeline development involving cloud data solutions and databases.
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Technical expertise in data modeling, data mining, and segmentation techniques
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Ability to decipher and organize large amounts of data
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An analytical mindset with excellent communication and problem-solving skills
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Proven aptitude in data engineering and cloud engineering
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A role model of rigorousness in quality, management, analyses, and data-driven organization
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Hands on experience with drafting policies and data governance policies and frameworks is a plus
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Ability to learn new technology quickly
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Ability to work in a team or individually on a project.
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Excellent communication and problem-solving skills.
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Good to have knowledge of risk data architecture and technology solutions
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Good to have knowledge of industry-leading data quality and data protection management practices.
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Good to have knowledge of data-related government regulatory requirements and emerging trends and issues.
- **Good to have knowledge on safeguarding the integrity of how data is used and understood in the Company, to maintain objectivity in reasoning, actions, and decision-making.