Data Engineer

NSEARCH GLOBAL PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading organization in Asia-Pacific is looking for a skilled Data Engineer to tackle data challenges and optimize data pipelines in Singapore. The ideal candidate will have over 4 years of experience in data engineering, proficient in Python and SQL, and familiar with cloud platforms like AWS, GCP, or Azure. Responsibilities include resolving data issues, optimizing database performance, and building scalable data pipelines. This position offers the opportunity to contribute to data-driven decision-making and the use of cutting-edge technologies.

Qualifications

• Minimum of 4-5 years’ relevant working experience required.
• Proficiency in Python and experience with Pandas for data manipulation.
• Experience in SQL performance tuning and database optimization.

Responsibilities

• Diagnose and resolve data issues and performance bottlenecks.
• Optimize database queries to improve efficiency.
• Develop workflows for automated data regeneration.

Skills

Python

SQL performance tuning

Data pipelining

Data analysis with Pandas

Problem-solving

Tools

AWS

GCP

Azure

Job description

Our client, one of Asia-Pacific’s leading organizations is looking for:
Data Engineer
We are looking for a highly skilled Data Engineerto solve complex data challenges, optimize production data pipelines, and enhance database performance. You will play a critical role in diagnosing and debugging data related issues, ensuring seamless data flow, and enabling data-driven decision-making
Responsibilities:

• Diagnose and resolve data issues, production outages, and performance bottlenecks to maintain system reliability.
• Debug data job failures, including pipeline breakdowns and unexpected raw 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:

• Candidates with minimum of 4-5 years’ relevant working experience.
• 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.
• Strong problem-solving skills, especially in navigating ambiguous and unknown data issues.
• Excellent communication skills, with the ability to collaborate effectively with engineering and product teams.

Interested applicants can also email CV at [e-mail] (for faster processing, please state the exact job / position title applied “Data Engineer”)

Only shortlisted candidates will be notified.