HireIO Inc
Senior Data Engineer for E-Commerce
HireIO Inc, Seattle, Washington, us, 98127
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.Position Requirements：
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.
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.Position Requirements：
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.