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Senior Data Engineer for E-Commerce

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Job Description

Job 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.
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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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