San Jose, US-United States, Seattle, US-United States
Posted 6 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. Team Introduction The Data Platform Global Live team is dedicated to empowering the growth of LIVE business through big data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of LIVE features, in addition to robust data support to enhance live performance for streamers. As a data engineer in the Global Live 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. Responsibilities – What You’ll Do – Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, 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 – BS or MS degree in Computer Science or related technical field or equivalent practical experience; – 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 ETL(Extraction, Transformation & Loading) and architecting data systems; – Experience with schema design, data modeling and SQL queries; – Passionate and self-motivated about technologies in the Big Data area. |
Job Features
| Job Category | Data Engineering |
| Seniority | Junior / Mid IC |
| Base Salary | $130,000 - $240,000 |
| Recruiter | raine.yu@ocbridge.ai |
