As a data engineer in the Data Platform 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. Minimum Qualifications:
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.
Numbers & Facts
Location
Seattle, WA
Skills
Analysis Skillsunmatched
Apache Hadoopunmatched
Apache Hiveunmatched
Apache Sparkunmatched
Best Practicesunmatched
Big Dataunmatched
Computer Scienceunmatched
Data Analysisunmatched
Data Modelingunmatched
Database Designunmatched
Database Extract Transform and Load (ETL)unmatched
Ecosystemsunmatched
Product Supportunmatched
R Programming Languageunmatched
SQL (Structured Query Language)unmatched
System Architectureunmatched
eCommerceunmatched
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