Analysis Skills, Apache Hadoop, Apache Hive, Apache Spark, Best Practices, Big Data, Computer Science, Data Analysis, Data Modeling, Database Design, Database Extract Transform and Load (ETL), Ecosystems, Product Support, R Programming Language, SQL (Structured Query Language), System Architecture, eCommerce
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.
This position can be based out of our Mountain View or Seattle office.
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.