Jupiter Power
Senior Data Engineer for E-Commerce
Jupiter Power, Seattle, Washington, us, 98127
Description
The Global E-Commerce team focuses on building data infrastructure and data product areas to support business engineering teams working directly.
As a data engineer in the Global E-Commerce 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.
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The Global E-Commerce team focuses on building data infrastructure and data product areas to support business engineering teams working directly.
As a data engineer in the Global E-Commerce 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.
#J-18808-Ljbffr