Data Engineer - S-Cube
- Petaling Jaya, Selangor, Malaysia
- Apply by: Jan 01, 2026
- 2 Vacancy
- Local Candidates (Malaysia)
- Shift: First Shift (Morning)
- Career Level: Experienced Professional
- Degree: Graduate
- Experience: Year
- Full Time/Permanent
- Work from Office
Job Description
Do you:
• Enjoy problem solving – seeking the ‘A-Ha!’ moment
• Enjoy working in a dynamic and high-energy environment
• Like to work with people that are passionate about doing excellent job
• Have experience building highly scalable solution
• Hungry to learn more about the Big Data stacks
Responsibilities:
• Design and develop Enterprise Big Data solutions and components using Big Data Technology.
• Develop crawler to extract data from internet.
• Collect and process massive amount of data available in different data structure (structured, semi-structure, unstructured) using Big Data technologies.
• Perform data cleansing activities ensuring data accuracy and data integrity is met.
• Collaborate with data scientists and product development teams to develop data products.
• Might have opportunity to work with many reputable customers, mainly in London, Singapore, Holland, Paris, United States, Malaysia, Thailand, HK, Japan, etc (depending on the project).
Requirement:
• A Bachelor degree in Computer Science, Analytics or related discipline
• Proficient in Python and SQL
• Strong knowledge and experience in data cleansing activities and has a methodology in validating data accuracy
• Experience working with big data technologies (Hive, Impala, Google Big Query, Parquet, Spark, HBase, Storm, Kafka etc) is an added advantage
• Experience working with semi-structured data such as MongoDB, HBase or JSON is an added advantage
• Experience in developing data visualization using D3.js or relevant framework/library is an added advantage
• Candidate with Google Cloud Data Engineer/Data Science certification has an extreme advantage
• Experience working in an agile development organization is an added advantage
• Enjoy problem solving – seeking the ‘A-Ha!’ moment
• Enjoy working in a dynamic and high-energy environment
• Like to work with people that are passionate about doing excellent job
• Have experience building highly scalable solution
• Hungry to learn more about the Big Data stacks
Responsibilities:
• Design and develop Enterprise Big Data solutions and components using Big Data Technology.
• Develop crawler to extract data from internet.
• Collect and process massive amount of data available in different data structure (structured, semi-structure, unstructured) using Big Data technologies.
• Perform data cleansing activities ensuring data accuracy and data integrity is met.
• Collaborate with data scientists and product development teams to develop data products.
• Might have opportunity to work with many reputable customers, mainly in London, Singapore, Holland, Paris, United States, Malaysia, Thailand, HK, Japan, etc (depending on the project).
Requirement:
• A Bachelor degree in Computer Science, Analytics or related discipline
• Proficient in Python and SQL
• Strong knowledge and experience in data cleansing activities and has a methodology in validating data accuracy
• Experience working with big data technologies (Hive, Impala, Google Big Query, Parquet, Spark, HBase, Storm, Kafka etc) is an added advantage
• Experience working with semi-structured data such as MongoDB, HBase or JSON is an added advantage
• Experience in developing data visualization using D3.js or relevant framework/library is an added advantage
• Candidate with Google Cloud Data Engineer/Data Science certification has an extreme advantage
• Experience working in an agile development organization is an added advantage
Benefits
EPF, SOCSO, AL, MC, Medical benefits and other employee benefits
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