about the company.
The hiring company is seeking a talented Senior Data Engineer to join the team, responsible for designing robust data architectures and overseeing data engineering projects from conception to implementation
...
about the job.
- Collaborate with stakeholders to understand data requirements and design scalable data architectures that meet business needs.
- Lead the end-to-end project management of data engineering initiatives, ensuring timely delivery and adherence to quality standards.
- Develop and maintain data models, ETL processes, and data pipelines to support analytics and reporting needs.
- Implement data governance best practices to ensure data quality, security, and compliance.
- Work closely with cross-functional teams to integrate data solutions into existing systems and applications.
- Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement
skills & experiences required.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- At least 5 years of proven experience in data engineering
- Proficiency in data modeling, ETL processes, and building scalable data pipelines.
Expertise in database technologies (SQL, NoSQL) and cloud platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks).
Strong project management skills with a track record of successfully leading data engineering projects from conception to deployment.
Excellent communication and stakeholder management abilities. - Proficient in Chinese and English
If you’re interested in this exciting opportunity please don’t delay and click APPLY NOW for more information you can reach out to Wendy Fung at wendy.fung@randstad.com.hk with the resume.
show more
about the company.
The hiring company is seeking a talented Senior Data Engineer to join the team, responsible for designing robust data architectures and overseeing data engineering projects from conception to implementation
about the job.
- Collaborate with stakeholders to understand data requirements and design scalable data architectures that meet business needs.
- Lead the end-to-end project management of data engineering initiatives, ensuring timely delivery and adherence to quality standards.
- Develop and maintain data models, ETL processes, and data pipelines to support analytics and reporting needs.
- Implement data governance best practices to ensure data quality, security, and compliance.
- Work closely with cross-functional teams to integrate data solutions into existing systems and applications.
- Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement
skills & experiences required.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- At least 5 years of proven experience in data engineering
- Proficiency in data modeling, ETL processes, and building scalable data pipelines.
...
Expertise in database technologies (SQL, NoSQL) and cloud platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks).
Strong project management skills with a track record of successfully leading data engineering projects from conception to deployment.
Excellent communication and stakeholder management abilities.
Proficient in Chinese and English
If you’re interested in this exciting opportunity please don’t delay and click APPLY NOW for more information you can reach out to Wendy Fung at wendy.fung@randstad.com.hk with the resume.show more