Data Engineer, E-Commerce

TikTok Inc

  • San Jose, CA
  • 13 days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationSan Jose, CA

    Description

    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.

    Similar Jobs

    See more jobs