Our client, one of Asia-Pacific’s leading organizations is looking for:
Data Engineer
Responsibilities:
Diagnose and resolve data issues, production outages, and performance bottlenecks to maintain system reliability
Debug data job failures, including pipeline breakdowns and unexpected row data changes
Optimize database queries and monitor database health to improve efficiency and scalability
Develop workflows for automated data regeneration to maintain accuracy and consistency; Facilitate secure and efficient data access for analysis, balancing liberalization with compliance
Stay ahead of industry trends and recommend best-in-class data engineering technologies and practices
Work with the Data Lead and engineering team to implement optimal data ingestion and storage strategies
Design and build scalable, robust, and maintainable data pipelines in consultation with Data Lead using cutting-edge technologies
Requirements:
Degree with minimum 4 years’ relevant working experience in Data Engineering
Strong proficiency in Python with extensive hands on experience using Pandas for data manipulation, transformation, and analysis of large datasets
Strong expertise in SQL performance tuning, database optimization, and query efficiency
Hands-on experience in developing, deploying, and debugging robust data pipelines and ETL/ELT workflows in a production environment.
Experience with at least one cloud platform (AWS, GCP, Azure) and data warehousing solutions
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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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