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 [email protected] (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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