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

• Work closely with the data team to design and develop data pipelines and ETL processes. Provide validation on reports on data outputs
• Working with others businesses within the organization for understanding requirements, provide data and analysis
• Monitor, maintain and troubleshoot issues within existing data platforms
• Daily standups and retrospective
• Competencies in programming and designing solution to that entails delivery of the right solutions of quality and in a timely manner
• Ability to present and communicate ideas in a structured manner to different level of stakeholders in technical and non-technical format
• Contribution towards the software development lifecycle, including scoping, design, code, testing, deployment and maintenance of the team's software
• Active in operational support, identifying the root cause, analysis and resolving issues in a timely manner
• Ensuring code quality standard, practice and code review for your peers
• Actively performing one step above of the job description with goals that aligns and benefit the company and individual

Qualifications

Requirements:

• 2 years to a maximum of 4 years experience in Data Engineering or related field.
• Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics or related fields.
• Proficiency in Python is a must.
• Additional proficiency in one programming language, R, Java, Scala or others.
• Proficiency in SQL and query performance and optimisation.
• Experience with relational and non-relational databases.
• Experience or knowledge in different network protocols.
• Experience in any cloud platforms, e.g., GCP, AWS or Azure.
• Experience in data streaming services or tools.

Good to have:

• Experience and knowledge on different data warehouse design patterns.
• Experience in any visualization tools, e.g., Tableau, Power BI, Looker Studio.
• Proficiency in microservices, REST API and 3 tier architecture.
• Experience in HTML and DOM manipulation.
• Experience in CLI and related tools.
• Aptitude and attitude.
• Disciplined and organised behavior, goal driven.
• Has extracurricular activities and hobbies related to field of study, promoting self-improvements or giving back to the community.

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.