Jupiter Power
Data Engineer for Data Platform
Jupiter Power, Seattle, Washington, us, 98127
Team Introduction
The Data Platform team works on building data infrastructures and data products to support business engineering teams.
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. Responsibilities
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 Minimum 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 Solid communication and collaboration skills Experience with ETL (Extraction, Transformation & Loading) and architecting data systems Experience with schema design and data modeling Experience in writing, analyzing and debugging SQL queries Deep understanding of various Big Data technologies Passionate and self-motivated about technologies in the Big Data area
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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. Responsibilities
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 Minimum 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 Solid communication and collaboration skills Experience with ETL (Extraction, Transformation & Loading) and architecting data systems Experience with schema design and data modeling Experience in writing, analyzing and debugging SQL queries Deep understanding of various Big Data technologies Passionate and self-motivated about technologies in the Big Data area
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