Data Platform Engineer: Scale Big Data Impact

TikTok

San Jose (CA)

On-site

USD 156,000 - 387,600

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with company match
Paid parental leave
Disability coverage
Life insurance
Wellbeing benefits
Paid holidays

Job summary

TikTok is seeking a data engineer to join the data platform team and help build one of the largest data platforms in the world. You will gain hands-on experience across the data platform ecosystem and influence core products used by hundreds of millions of users.

You will design and implement scalable data transformations and big data systems, ensuring robust engineering practices for both technical and non-technical stakeholders. Join a team driving innovation at scale.

Qualifications

  • BS or MS in Computer Science or related field or equivalent practical experience.
  • Experience with Big Data technologies (Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.).
  • Experience with data analysis, data ingestion and data integration; ETL design.
  • Experience with schema design, data modeling and SQL queries.
  • Passionate and self-motivated about Big Data technologies.

Responsibilities

  • Design and build data transformations for reporting, growth analysis, and multi-dimensional analysis.
  • Design and implement scalable big data systems supporting core products.
  • Establish solid design and engineering practice for engineers and non-technical people.

Skills

Big Data
Data pipelines
SQL
ETL
Data modeling

Education

BS/MS in Computer Science or related field

Tools

Hadoop
Spark
Kafka
Presto
ClickHouse

Job description

TikTok is seeking a data engineer to join the data platform team and help build one of the largest data platforms in the world. You will gain hands-on experience across the data platform ecosystem and influence core products used by hundreds of millions of users.

You will design and implement scalable data transformations and big data systems, ensuring robust engineering practices for both technical and non-technical stakeholders. Join a team driving innovation at scale.

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