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CHARLES & KEITH GROUP · Singapore, Singapore

Data Engineer

mid_levelfull timePosted today
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Stack mentioned

data-engineeringetlawsazuregcpdata-governancedata-warehousing

Job Overview:

We are looking for a talented and motivated Data Engineer with 2–3 years of experience to join our team. The ideal candidate will have hands-on experience in building and maintaining data pipelines, working with cloud platforms (Alicloud, AWS, Microsoft Azure, or Google Cloud Platform), and ensuring efficient data integration, storage, and accessibility.

Job Responsibilities:

1. Data Pipeline Development

- Design, develop, and maintain scalable and reliable ETL (Extract, Transform, Load) pipelines to integrate structured and unstructured data from various sources

- Automate data workflows and ensure efficient data movement across platforms

2. Collaboration and Team Management

- Work closely with data analysts, data scientists, and business stakeholders to understand data needs and provide tailored data solutions

- Translate business requirements into technical specifications for data pipelines, storage, and processing solutions

3. Data Governance and Compliance

- Maintain clear and comprehensive documentation for data pipelines, data warehouse structures, and data governance practices

- Ensure compliance with data governance policies and standards for data security and privacy, working closely with security and governance teams

Requirements:

- Bachelor’s degree or Master’s in Computer Science, Data Engineering, Information Technology, or a related field

- 2-3+ years in data engineering, with strong hands-on experience in big data warehouse

- Team player with strong collaboration skills, able to work effectively with both internal and external teams

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