Released at

2023-Mar-20

Close at

2023-Aug-31

Job Type

FULLTIME

Salary

SGD 12000 per MONTH

Location

Singapore, , Singapore

Company Description

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy.
TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo.

Job Description

    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

Requirements

    - 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

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