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Company Description
About Carousell Group
Carousell Group is the leading multi-category platform for secondhand in Greater Southeast Asia on a mission to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in seven markets under the brands Carousell, Carousell Media Group, Cho Tot, Laku6, Mudah.my, OneShift, REFASH and Revo Financial, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments, 500 Global and Peak XV Partners (formerly known as Sequoia Capital India). Visit here for more information.
About Mudah.my Sdn Bhd
Mudah.my is part of Carousell Group, the leading multi-category platform for secondhand in Greater Southeast Asia on a mission to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in seven markets under the brands Carousell, Carousell Media Group, Cho Tot, Laku6, Mudah.my, OneShift, REFASH and Revo Financial, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments, 500 Global and Peak XV Partners (formerly known as Sequoia Capital India). Visit mudah.my for more information
Job Description
Responsibilities:
Requirements:
Our data engineering team works to improve and maintain current data pipelines ensuring reliability and quality.
We combine raw data sources from multiple sources to provide readable data. Through development of data ingestions and transformations, we enable data analysts and data scientists to perform modeling and analysis.
By proceeding with your application, you are adhering to our PDPA policies. In case you are interested to know more, read about our Candidates Personal Data Privacy Statement.
About Carousell Group
Carousell Group is the leading multi-category platform for secondhand in Greater Southeast Asia on a mission to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in seven markets under the brands Carousell, Carousell Media Group, Cho Tot, Laku6, Mudah.my, OneShift, REFASH and Revo Financial, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments, 500 Global and Peak XV Partners (formerly known as Sequoia Capital India). Visit here for more information.
About Mudah.my Sdn Bhd
Mudah.my is part of Carousell Group, the leading multi-category platform for secondhand in Greater Southeast Asia on a mission to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in seven markets under the brands Carousell, Carousell Media Group, Cho Tot, Laku6, Mudah.my, OneShift, REFASH and Revo Financial, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments, 500 Global and Peak XV Partners (formerly known as Sequoia Capital India). Visit mudah.my for more information
Job Description
Responsibilities:
- Partaking in daily standups and work closely with the data team to design and develop data pipelines and ETL processes.
- Monitor, maintain and troubleshoot data pipeline issues and performances.
- Involved in weekly summary logs, paired programming, perform basic analysis and validation on data outputs.
Requirements:
- Undergraduate in Computer Science, Engineering, Information Systems, Mathematics, Statistics or related fields.
- Strong communication skills, able to work and collaborate with others.
- Programming skills in Python, Java or any others.
- Knowledge and understanding of concepts such as ETL, MLs, and OOP.
- Experience with relational and non-relational databases.
- Proficiency in Microsoft/Google tools such as Docs, Excel, PPT.
Our data engineering team works to improve and maintain current data pipelines ensuring reliability and quality.
We combine raw data sources from multiple sources to provide readable data. Through development of data ingestions and transformations, we enable data analysts and data scientists to perform modeling and analysis.
By proceeding with your application, you are adhering to our PDPA policies. In case you are interested to know more, read about our Candidates Personal Data Privacy Statement.
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