Data Engineer - Growth

TikTok Pte. Ltd.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading social media platform is seeking a Data Analyst for its User Growth team in Singapore. The role involves building data pipelines and optimizing user acquisition strategies. Candidates should have a Bachelor's degree in a related field, proficiency in SQL, and experience in programming languages like Scala, Java, or Python. This position offers the opportunity to work on impactful projects in a fast-paced environment.

Qualifications

• Bachelor's degree in a relevant field.
• Skilled in SQL and an object-oriented programming language.
• Experience with data pipeline troubleshooting.

Responsibilities

• Build data pipelines to monitor business health.
• Extract signals from data for analytical goals.
• Improve data pipeline integrity.

Skills

SQL

Object-oriented programming (Scala, Java, or Python)

Data analysis

Problem solving

Collaborative teamwork

Education

Bachelor's degree in Computer Science, Statistics, Data Science, or related field

Job description

Responsibilities

The TikTok User Growth team is central to the strategic acquisition, engagement, and expansion of TikTok's global user base, numbering in the billions. Our mandate encompasses driving significant user inflow through both paid and organic channels worldwide, meticulously optimizing new user conversion pathways to maximize retention, streamlining user outreach mechanisms to foster greater activity, and strategically utilizing independent platforms (e.g., TikTok Lite, TikTok Pro, Web) to capture distinct user segments. These comprehensive approaches are designed to achieve accelerated growth in TikTok's overall DAU.

Typical Growth projects including AI-Generated Content (AIGC). creative generating, Search Engine Optimizing of Organic acquisition, Intelligent Ads delivery,etc. You will:

• Build data pipelines to portray business status, based on a deep understanding of our fast changing business and data-driven approach;
• Extract information and signals from a broad range of data and build hierarchies to accomplish analytical and mining goals for “Packaged Business Capability” such as user-growth, gaming and searching;
• Keep improving the integrity of data pipelines to provide a comprehensive data service.

Qualifications

Minimum Qualifications：

• Bachelor's degree in Computer Science, Statistic, Data Science or a related field;
• Skilled in SQL and additional object-oriented programming language (e.g. Scala, Java, or Python);
• Experience in issue tracking and problem solving on data pipelines;
• Fast business understanding and collaborative in teamwork.

Preferred Qualification：

• Industry experience working with user growth.