Data Engineer

Job Overview

Job Description

-Work alongside & learn from best in class talent
-Excellent career development opportunities
-Great work environment

Established in Kuala Lumpur since 2015, Our client is a fast-growing technology company. It serves many clients from various lines of industry.

Being an MSC certified company, our client is recognized as leaders in ICT industry development in Malaysia. It reflects our commitment to be the frontliner of technology innovation and advancements.

The Job
You will be responsible for:

Develop scalable data architectures and systems that can handle large volumes of data and support real-time processing and analytics.
Collect, extract, transform, and load data from various sources, including databases, data warehouses, and data lakes.
Ensure data quality and integrity through the use of validation and cleansing processes and implement data security and privacy measures.
Collaborate with data scientists, analysts, and business users to understand their data needs and requirements and provide them with access to the data they need.
Develop and maintain ETL processes, data pipelines, and other data integration tools and technologies.
Perform data modelling and database design and optimize data structures and queries for performance and scalability.
Monitor and maintain data infrastructure and systems to ensure they are operating at peak performance and availability.
Stay up to date with new and emerging technologies and techniques in the data engineering field, and recommend new tools and technologies as needed.
Participate in team meetings, code reviews, and other collaborative activities to ensure the successful development and implementation of data infrastructure and systems.

Ideal Candidate
Bachelor's degree in Computer Science, Electrical Engineering, or related field (required), Master's degree in Computer Science or related field (preferred).
Strong knowledge of data management and database technologies, such as SQL, NoSQL, and Spark.
Minimum 5 years of experience with data integration tools and technologies, such as ETL, data pipelines, and data warehousing.
Excellent programming skills in languages such as Python and Java.
Strong analytical and problem-solving skills, with the ability to analyze complex data and identify solutions to data engineering challenges.
Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
Ability to manage multiple projects and priorities, and to adapt quickly to changing situations.
Commitment to maintaining confidentiality and integrity in all aspects of the job, and to promoting a safe and inclusive work environment.