Data Processing Jobs
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Search Results - Data Processing Jobs
NielsenIQ-Subang Jaya
Job Description
The Data Processing Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry / category or set of categories (e.g. Beverages, Food, Health and Beauty Products...
NielsenIQ-Subang Jaya
Company Description
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers...
NielsenIQ-Subang Jaya
portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com.
Job Description
This Data Processing Specialist is responsible for data input validation and data cleaning (PH market...
Capco-Kuala Lumpur
migration solution for the required in-scope ETLs.
2. Migrate the ETLs from current-state programs onto the appropriate modules in the GCP platform.
3. Assist teams with processing the data migration of dependent datasets as required for production run.
4. ..
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NielsenIQ-Subang Jaya
portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com.
Job Description
The Data Processing Specialist is responsible for instructions of client deliverables, coding and data...
Capco-Kuala Lumpur
configuring the PEGA development instances as necessary.
• Assist teams with processing the data migration of dependent datasets as required for production run.
• Test the accuracy & completeness of the migrated ETL.
• Create or update existing SOPs...
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Digital Marketing Consultancy Sdn Bhd-Ampang Jaya
and scalability using techniques within the chosen data processing technology and enhance storage solutions for optimal performance.
Design, implement, maintain, and improve CI/CD pipelines for data processes. This includes automating testing, deployment...
2 similar jobs: Kajang, Klang
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Capco-Kuala Lumpur
data practices with regulatory mandates.
• Data Mapping & Documentation – Analyze data flows across systems and document storage, access, and processing locations.
• Risk Assessment & Mitigation – Identify risks related to cross-border data transfers...
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Disted College Penang-George Town
subjects.
Teach core programming languages, including Java, Python, JavaScript, C#, PHP, C++, and SQL.
Develop and enhance curriculum content with a focus on data analytics techniques, machine learning, big data processing, data visualization...
BTSE-Kuala Lumpur
and scale complex data infrastructures, optimize data storage and processing, and ensure that our systems are fast, secure, and compliant.
Responsibilities:
• Data Architecture and Infrastructure Design: Lead the design and architecture of scalable, high...
Keller Executive Search-Kota Bharu
such as Tableau, Power BI, or similar platforms
Experience with databases (SQL) and data processing frameworks (Hadoop, Spark) is a plus
Excellent analytical and problem-solving skills with a strong attention to detail
Ability to communicate complex technical...
National Oilwell Varco-Kuala Lumpur
complex SIEM data storage and processing solutions
• Extract and manipulate data along the data pipeline
• Design and implement new data processing algorithms for processing high volumes of data
• Build analytics tools that utilize the data pipeline...
Great Eastern Life-Kuala Lumpur
Job Description - Associate, Business Processing (Group Insurance - Employee Benefit Operation) (2500000J)
Job Number: 2500000J
Discover the GREAT in your career.
As a LIFE company, our customers are at the heart of all that we do. Being one...
Bright Vision Technologies-Kuala Lumpur
for designing, developing, and maintaining Hadoop-based solutions. You will collaborate with cross-functional teams to implement data processing and analytics pipelines, optimize performance, and ensure data reliability and security.
Responsibilities:
1. ..
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Ams Osram-George Town
for efficient ML processing.
6. Deploy and monitor models in production environments using MLOps best practices.
7. Create various documentations required as part of implementation.
8. Communicate the results to management via data visualizations...
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