Big Data Engineer, Data Platform
1 week ago
Job Summary:
Salary
S$6,500 - S$13,000 / Monthly
Job Type
Seniority
Junior
Years of Experience
At least 1 year
Tech Stacks
ETL ClickHouse Metastore Analytics R Flume Presto Hive Spark kafka Flink SQL
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.
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.
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.
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 multidimensional 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 nontechnical people
- 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 selfmotivated about technologies in the Big Data area
- Solid communication and collaboration skills
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.-
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