Data Engineer

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, LuxLexicon, 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).As a team of passionate individuals working together to solve meaningful problems, there is so much more for you to discover in a career with Carousell. Our culture is made up of hiring, developing, and promoting people who embody our values of HEART, which is an acronym for Humility, Empathy, Accountability, Relentlessly resourceful and Teamwork. Together as an organisation, we make magic happen.

Job Description

Data Integration:

• Assist in designing, developing, and maintaining data pipelines for efficient data integration across various sources.
• Collaborate with cross-functional teams to ensure seamless data flow and integration.

Data modelling and warehousing:

• Contribute to the design and implementation of data models and data warehouses.
• Work on optimizing database performance and ensuring data accuracy and consistency.

ETL Development:

• Develop and maintain ETL processes to extract, transform, and load data into the data warehouse.
• Troubleshoot and optimize ETL workflows for performance and reliability.

Data Quality and Governance:

• Implement data quality checks and ensure adherence to data governance policies.
• Collaborate with data stewards to address data quality issues and maintain data integrity.

Collaboration:

• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Collaborate with the broader technology team to ensure alignment with overall business objectives.

Continuous Learning:

• Stay current with emerging trends and technologies in data engineering.
• Actively participate in professional development opportunities and training programs.

Qualifications

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 1 to 3 years of practical experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data modeling, ETL processes, and database technologies.
• Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Additional Information

Our Data Engineering team works to improve and maintain data related domains ensuring data security, reliability and quality to be shared across different entities within the company. We combine data from different sources to provide trustable and meaningful data. Through the process of data ingestion, egress, cleansing and transformation, we enable different entities within the company to perform their respective functions.

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.