Data Engineer

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KEY RESPONSIBILITIES

• Providing technical leadership, guidance and act as the de facto point of reference for data engineering and any analytical solutions especially Data Products.
• Developing Data Engineering solutions in line with the latest technologies and best practices.
• Drive knowledge journeys and facilitate communication on Data Engineering, DataOps & MLOps across units.
• Able to translate the logical conceptual data model into a physical data model.
• Designing and evolving the overall data architecture, ensuring scalability, flexibility, and alignment with business goals.
• Assessing and integrating third-party solutions into the data architecture.
• Optimizing end-to-end data pipelines for maximum efficiency and performance.
• Implementing advanced caching, parallel processing, and optimization techniques.
• Establishing and enforcing security protocols to protect sensitive data.
• Ensuring compliance with data privacy regulations and industry standards.
• Managing technical, business glossary metadata as well as data lineage in Atlas repository.

REQUIREMENTS (Qualification/Experience/Skills)

• Degree/Master/PhD in Computer Science, Data Engineering or equivalent.
• Operational Knowledge of Data Engineering Architectures & Implementation.
• Minimum 3 – 4 years of experience and domain knowledge in banking & insurance.
• Minimum 5 – 7 years of experience in Apache Hive, HBase, Solr, Kafka & Elasticsearch.
• Operational experience in Data Mesh and Data Product conceptualization & development.
• Understand the concept of data modelling.

Your application will include the following questions:

• Which of the following statements best describes your right to work in Malaysia?
• What's your expected monthly basic salary?
• Which of the following types of qualifications do you have?
• How many years' experience do you have as a Data Engineer?

Computer Software & Networking More than 10,000 employees

Company Profile

As a leading strategic partner to companies around the world, we have leveraged technology to enable business transformation for more than 50 years. We address the entire breadth of business needs, from strategy and design to managing operations. To do this, we draw on deep industry expertise and a command of the fast-evolving fields of cloud, data artificial intelligence, connectivity, software, digital engineering, and platforms.

people: 340K+

countries: 50+

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