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Data Infrastructure Manager

1 week ago

Kuala Lumpur, Kuala Lumpur, Malaysia Public Bank Berhad Full time
Job Description

This is a key role within the organisation, requiring a skilled data professional to lead and manage data projects, ensuring high-quality data and efficient data processes.

Key Responsibilities
  • Develop and implement data strategies to improve data quality and reduce data inconsistencies.
  • Collaborate with IT to design and implement ETL processes for improved data ingestion and automation.
  • Design master data management roadmaps and develop scripts for automation of standard and periodic reports.
  • Ensure data quality and integrity by implementing robust data validation and cleansing processes.
  • Work with technical teams to continuously improve, refine, and expand datasets to enhance quality and effectiveness of processes.
Requirements
  • A recognised degree in Computer Science, Data Science, Mathematics, Statistics or other related disciplines with minimum 8 years of working experience in Data Infrastructure and/or Next Gen technologies.
  • Proficient in various data programming languages (e.g., SAS, Python, SQL) as well as hands-on experience and knowledge in ETL processes.
  • Possess strong knowledge in Cloud technology and the Apache Hadoop ecosystem as well as big data querying tools such as Apache Hive and Apache Impala.
  • Adept in handling and understanding large datasets and relational databases in upstream and downstream processes.
  • Able to write clear and concise business requirements.
  • Possess experience in script automations, data modelling, algorithm and data transformation techniques.
  • Exposure in data visualisation tools (e.g., Tableau, Power BI etc.) as well as knowledge in data science, artificial intelligence, and machine learning would be an added advantage.