Data Engineer

Responsibilities Design and implement robust technical systems for data collection, integration, safeguarding, storage, organization, and transformation to deliver optimized data solutions. Build, deploy, and monitor scalable data pipelines to ensure seamless data flow and reliability. Create custom scripts and code to cleanse, refine, and enhance data quality and usability. Collaborate with business stakeholders to improve reporting tools, perform unit testing and database querying for analysis

Morgan McKinley - Tai Ching Cheung, Hong Kong - Full time

Salary: Negotiable

Responsibilities

  • Design and implement robust technical systems for data collection, integration, safeguarding, storage, organization, and transformation to deliver optimized data solutions.
  • Build, deploy, and monitor scalable data pipelines to ensure seamless data flow and reliability.
  • Create custom scripts and code to cleanse, refine, and enhance data quality and usability.
  • Collaborate with business stakeholders to improve reporting tools, perform unit testing and database querying for analysis and troubleshooting, and maintain comprehensive technical documentation as a key reference resource.

Skills Reqd

  • A Bachelor's degree in Computer Science, Information Technology, Statistics, or a closely related field is highly preferred.
  • Candidates must have at least 2 to 4 years of hands-on experience working on data engineering initiatives.
  • Proven expertise in Cloud Data Platform solutions, with relevant certifications considered a strong advantage.
  • Hands-on experience as an SQL/Oracle database or Python developer, coupled with proficiency in ETL processes for complex data projects and programming languages such as Python and Java.
  • Demonstrated ability to build, manage, and maintain data assets within Cloud Data Platforms.
  • Proficient in Cantonese and English

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