Singapore, SG-Singapore
Posted 8 months ago
| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. 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. Requirements – Bachelor or Masters degree in Computer Science or related technical field or equivalent practical experience – At least 3 years 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 |
Job Features
| Job Category | Data Engineering |
| Seniority | Junior / Mid IC |
| Recruiter | jack.cheng@ocbridge.ai |
