Editorial summary

The company is seeking a Data Engineer on a contract basis with a compensation of 6,000. The role involves designing and implementing data pipelines, optimizing SQL queries, and collaborating with data analysts and scientists to support data requirements. Candidates should have experience building and maintaining data stores in cloud environments and developing scalable, high-performance data processing architectures. The position requires strong technical skills in data engineering and cloud-based data management.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/data-engineer-contract-33711 first appeared in Job-Q.com on 21 Sep 2026]

Responsibilities:

• Assist in the design and implementation of data pipelines to collect, process, and store data from various sources.
• Write and optimize SQL queries to extract and manipulate data for reporting and analysis.
• Collaborate with data analysts and data scientists to understand data requirements and provide the necessary data support.
• Organize, build and maintain data stores of structured and unstructured data on a Cloud environment.
• Build data pipelines to enable scalable processing of large volumes of data. Develop scalable and high-performance application architectures using modern development frameworks. Work closely with business stakeholders and project leads to gather requirements and convert them into effective solutions.
• Document data processes, workflows, and data models to maintain clear communication within the team Maintain technical documentation related to application design, workflows, and deployment

Requirements:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 3 years of experience in data engineering
• Strong knowledge in SQL, ETL Teradata, Hadoop, Python and experience with writing queries for data extraction and manipulation.
• Experience implementing complex ETL and data extraction projects from scratch.
• Fluency in Python, Spark, HIVE-QL, Hadoop eco-system, data-centric workflow management tools Unix/Linux/HDFS environments
• Proficiency in SQL and RDBMS Good working knowledge of Git and CI/CD pipelines
• Experience in Graph database desirable but not mandatory Thorough knowledge of data security, privacy, and compliance regulations

Interested candidates, who wish to apply for the above position, please send your resume to

We regret that only shortlisted candidates will be contacted.

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