Big Data Engineer, Data Platform - Singapore - TIKTOK PTE. LTD.

TIKTOK PTE. LTD. Singapore

1 week ago

Description

Roles & Responsibilities

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

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.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

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

Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

Visualise, interpret, and report data findings and may create dynamic data reports as well.

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.

Tell employers what skills you have

Machine Learning
Sponsorship
Data Analysis
Big Data
Data Modeling
ClickHouse
Natural Language Processing
Hadoop
Business Partnering
ETL
Data Integration
Data Mining
SQL
Writing
Continuous Integration
Debugging

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