- Kuala Lumpur Federal Territory Malaysia
工作地点
职位描述
岗位职责
Job Responsibilities
-Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
-Develop, maintain, and optimise data processing pipelines for data modelling, analysis, and business intelligence.
-Work with relational and distributed databases to extract, transform, process, and manage large volumes of data efficiently.
-Write and optimise SQL queries and data processing scripts to ensure data accuracy, performance, and reliability.
-Support the development of batch and streaming data pipelines for big data processing and analytics.
-Collaborate with business stakeholders and cross-functional teams to understand data requirements, conduct analysis, and deliver effective data solutions.
-Communicate with China-based stakeholders to gather business requirements, clarify technical specifications, and discuss data-related issues.
Job Requirements
-Bachelor's degree in Computer Science, Information Technology, Data Science, or a related technical field.
-Open to fresh graduates or candidates with up to 1 year of relevant working experience in data analysis, data engineering, or a related field.
-Good understanding of relational databases and distributed database systems.
-Familiarity with Python or Java, SQL, HiveQL, and/or SparkSQL.
Basic understanding of SQL query optimisation, performance tuning, and data processing best practices.
-Good analytical and problem-solving skills, with an understanding of batch and streaming data pipeline concepts.
-Business proficiency in Mandarin, both written and spoken, to communicate effectively
with China-based stakeholders who do not primarily communicate in English.
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