Intern in Data Engineering

Company Description

About Carousell Group 

Carousell Group is the premier multi-category platform for secondhand goods in Greater Southeast Asia, with a mission to make used goods the first option. Founded in Singapore in August 2012, the group holds a leading position in seven markets under the brands Carousell, Carousell Media Group, Cho Tot, Laku6, OneShift, REFASH and Revo Financial, serving tens of millions of monthly active users. Carousell is supported by major investors such as Telenor Group, Rakuten Ventures, Naver, STIC Investments, 500 Global, and Peak XV Partners (previously known as Sequoia Capital India). For more information, visit .

About Mudah.my Sdn Bhd
Mudah.my is a part of the Carousell Group, the superior multi-category platform for secondhand goods in Greater Southeast Asia, promoting secondhand as the first selection. Established in Singapore in August 2012, the group maintains a prominent role in seven markets with the brands Carousell, Carousell Media Group, Cho Tot, Laku6, OneShift, REFASH, and Revo Financial, reaching millions of monthly active users. Carousell draws the backing of top investors like Telenor Group, Rakuten Ventures, Naver, STIC Investments, 500 Global, and Peak XV Partners (previously known as Sequoia Capital India). For additional information, visit .

Job Description

Responsibilities:

• Participating in daily standups and closely collaborating with the data team to design and develop data pipelines and processes.
• Monitoring, maintaining and troubleshooting issues and performances related to data pipelines.
• Taking part in weekly summary reports, paired programming, and conducting basic analysis and validation on data outcomes.

Qualifications

Requirements:

• Undergraduate in Computer Science, Engineering, Information Systems, Mathematics, Statistics, or relevant fields.
• Excellent communication skills, with the ability to collaborate effectively with others.
• Programming skills in Python, Java, or equivalent languages.
• Awareness and comprehension of concepts like ETL, MLs,  and OOP.
• Experience with both relational and non-relational databases.
• Proficiency in Microsoft/Google applications such as Docs, Excel, PPT.

Additional Information

Our data engineering team operates to enhance and sustain existing data pipelines, ensuring reliability and quality.

We amalgamate raw data from multiple sources to produce comprehendible data. Through the development of data ingestions and transformations, we enable data analysts and data scientists to conduct modeling and analysis.