Data Engineer - Data Platform

TikTok is a short-form mobile video platform whose mission is to inspire creativity and bring joy. The Data Engineer will build, optimize, and grow data platform systems, including data transformations and scalable big data infrastructure that supports core products and business operations. The role also establishes strong design and engineering practices for technical and non-technical stakeholders.

Responsibilities

• 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

Benefits

• Eligible for additional discretionary bonuses/incentives
• Restricted stock units
• Day one access to medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

Company

• Short-form mobile video social network
• Los Angeles, California, USA
• https://www.tiktok.com/
• Founded in 2003
• 10001+ employees

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

Required skills

• Big Data Technologies, Data Analysis, Data Ingestion, Data Integration, ETL Extraction, ETL Transformation, ETL, ETL Loading, Data Systems Architecture, Schema Design, Data Modeling, SQL, Hadoop, Hive, Spark, Kafka

Experience

• Mid level