Senior Data Engineer
Summary
Build and maintain large-scale data warehouses and pipelines for a global social media company using Spark/Flint/Hive.
Senior Data Engineer
Our client is a leading global social media and big tech company. This role offers the opportunity to build large scale data warehouse for big data at a global scale.
Responsibilities Develop and maintain data tracking frameworks, documentation, and analytics processes across multiple business platforms. Collaborate with stakeholders to translate reporting and analytics requirements into scalable BI and data solutions. Improve data warehouse performance, governance, and customer analytics capabilities through optimized pipelines and data models.
Requirements Bachelors in Machine Learning, AI, Computer Science, Mathematics, or a related field. 3-10 years of experience as a Data Engineer with Spark/FLnk/Hive as main tool. Experience with PB Sclae of Data. Skilled in data warehouse design and governance, with experience building scalable architectures and monitoring warehouse performance. Due to need to communicate with chinese counterparts, proficiency in the Chinese language is required.
If you are interested in this opportunity, please
'Apply Now'
or email your CV to
(HIDDEN TEXT) . Referrals are greatly appreciated. Regrettably, only shortlisted candidates will be notified. Please note that data provided is for recruitment purposes only. Business Registration No.: 202004228R | License No.: 20S0118 | EA Registration No.: R2210710
Our client is a leading global social media and big tech company. This role offers the opportunity to build large scale data warehouse for big data at a global scale.
Responsibilities Develop and maintain data tracking frameworks, documentation, and analytics processes across multiple business platforms. Collaborate with stakeholders to translate reporting and analytics requirements into scalable BI and data solutions. Improve data warehouse performance, governance, and customer analytics capabilities through optimized pipelines and data models.
Requirements Bachelors in Machine Learning, AI, Computer Science, Mathematics, or a related field. 3-10 years of experience as a Data Engineer with Spark/FLnk/Hive as main tool. Experience with PB Sclae of Data. Skilled in data warehouse design and governance, with experience building scalable architectures and monitoring warehouse performance. Due to need to communicate with chinese counterparts, proficiency in the Chinese language is required.
If you are interested in this opportunity, please
'Apply Now'
or email your CV to
(HIDDEN TEXT) . Referrals are greatly appreciated. Regrettably, only shortlisted candidates will be notified. Please note that data provided is for recruitment purposes only. Business Registration No.: 202004228R | License No.: 20S0118 | EA Registration No.: R2210710