
Senior Data Engineer
5 days ago
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-
EA License Number: 10C3636
EA Personnel Name: Arora, Hardeep
EA Personnel Registration Number: R1111454
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