Data Engineer, Data Platform

TikTok  logo

TikTok

View Salaries, Reviews, and more  

Job Summary


Salary
S$6,422 - S$12,676 / Monthly EST

Job Type
Permanent

Seniority
Junior

Years of Experience
At least 1 year

Tech Stacks
ETL ClickHouse Metastore R Flume Presto Hive Spark kafka Flink SQL

Job Description

Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

Team Introduction
The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you!

As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

What you'll do:
- Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, and multi-dimensional analysis)
- Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
- Establish solid design and best engineering practice for engineers as well as non-technical people

Qualifications
- Bachelor or Masters degree in Computer Science or related technical field or equivalent practical experience
- At least 1 year of experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.)
- Experience with performing data analysis, data ingestion and data integration
- Experience with schema design and data modeling
- Experience with ETL (Extraction, Transformation & Loading) and architecting data systems
- Experience in writing, analyzing and debugging SQL queries
- Experience in data privacy and security related projects.
- Deep understanding of various Big Data technologies
- Passionate and self-motivated about technologies in the Big Data area
- Solid communication and collaboration skills

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

banner icon
Prepare For Your Interview in 1 Week?
Equip yourself with possible questions that interviewers might ask you, based on your work experience and job description.
Get Started!

Achieve your dream job with our top-notch tools!

Resume Checker Illustration

Resume Checker

Our free resume checker analyzes the job description and identifies important keywords and skills missing from your resume in just a minute!

Check Now
Resume Checker Illustration

Interview Preparation

Utilizing advanced AI, our tool generates tailored interview questions based on your industry, role, and experience. Practice and receive feedback on your answers in real time!

Let's Prepare
Resume Checker Illustration

Resume Builder

Let us show you the differences between a bad, good, and great resume, and guide you in building a resume that helps you stand out to employers, ensuring you land your next position faster!

Build Resume