Job Description

Our client, one of Asia-Pacific's leading organizations is looking for:

Data Engineer

Responsibilities:

Design and implement enterprise-scale data architectures, including data lakes, warehouses, and real-time streaming platforms Develop and maintain ETL/ELT pipelines that efficiently process large volumes of structured and unstructured data from diverse sources Ensure data quality, governance, and security standards are embedded throughout all data engineering processes. Hands-on development of Databricks notebooks using PySpark, Python, and SQL for ETL automation Create and optimise PySpark scripts for efficient data extraction, transformation, and loading from large datasets

Requirements:

Bachelor / Master in Data Science, Computer Science, Engineering or Information System with minimum 5 years of data engineering experience with AWS implementations Proven experience working as part of a data engineering team on ETL migration projects Hands-on experience implementing Databricks notebooks using PySpark, Python, and SQL for ETL automation Demonstrated expertise developing PySpark scripts for efficient data extraction, transformation, and loading from large datasets Experience utilising Python for custom data manipulation, validation, and error handling in ETL processes Proficiency employing SQL for complex joins, aggregations, and database operations within Databricks environments
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Interested applicants can also email CV at harry@nsearchglobal.com (for faster processing, please state the exact job / position title applied "Data Engineer"

Only shortlisted candidates will be notified.

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EA License Number: 10C3636


EA Personnel Name: Arora, Hardeep


EA Personnel Registration Number: R1111454


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