Senior Data Engineer

Responsibilities:

Serve as a technical expert and influencer, increasing the productivity and effectiveness of the team by sharing your knowledge and experience.
Work closely with other teams, identify their data needs, identify core KPI's to drive business growth, Influence source data producers to log key attributes.
Design and build next generation Data Lake, Data Warehouse and Systems.
Design and build reliable data pipelines using modern distributed processing technologies such as Spark, Kafka, Redshift, Presto, Pinot, Redis and ClickHouse with the ability to scale very large data volumes.
Design and build looker dashboards for Crypto Tech units and specific Business units.
Foster, mentor, and enforce industry best practices in data architecture, design patterns, big data platform, storage, distributed compute and coding standard.

Bachelor's degree and/or Master's degree in Computer Science or equivalent.
7+ years of experience working on Bigdata with deep understanding of data modeling, data architecture, and data warehousing.
Strong hands-on experience in distributed processing using Spark, and Hive.
Extensive experience Bigdata Platform, Data Warehousing concepts and languages (SQL, NoSQL) databases.
Problem solver, Pragmatic and Open-minded.
Experience with handling large data volumes in a distributed environment.
Hands on experience with Cloud Based Computing platforms such as AWS and understanding of scalability and reliability issues.
Hands-on experience in one or more programming languages such as Typescript, Scala, Python or similar languages.
Experience in collaborating with cross-functional teams to define mission, vision, and roadmaps.
Experience in the crypto or financial services industry is a plus.

感兴趣请发送简历至 c7501439@gmail.com 面试流程快，匹配名校/大厂薪酬，接受中文 junior 候选人，但是 senior 职位英语是必须