about the company.
Our client is a well-established MNC currently undergoing a digital transformation. To support their expanding data capabilities, they are seeking a Senior Data Engineer to join their team.
about the job.
- Design, develop, and maintain robust data processing pipelines and end-to-end ETL/ELT workflows.
- Build and optimize scalable data systems capable of processing and interpreting massive datasets with high speed, security, and structural integrity.
- Create and optimize the corporate data platform to ensure high-performance data storage and management.
- Act as a technical bridge between business units and IT, translating complex requirements into scalable technical solutions.
- Assist in generating advanced data visualizations and reports to support data-driven decision-making across different business units..
skills & experiences required.
- Bachelor’s Degree or above in Computer Science, Statistics, Mathematics, or a related discipline.
- Minimum 5 years of experience designing and developing data infrastructure using relevant tools (such as Kafka, Hadoop or Spark) in large-scale environments.
- Proven track record in ETL, data migration and building complex integration layers between legacy applications and centralized cloud/on-prem environments.
- Proficiency in Python, SQL, and SSIS; experience with modern orchestration tools is a plus.
- Strong grasp of data lake infrastructure concepts, principles, and modern implementation approaches.
- Good understanding of data modeling, database design, and data warehousing concepts.
- Proficient in spoken English; and is currently based in Hong Kong with a valid work permit.
... If you’re interested in this exciting opportunity please don’t delay and click APPLY NOW or for more information, you can reach out to Kelvin Chu at kelvin.chu@randstad.com.hk.