Data Platform Engineer - Big Data at Scale

re-zoo-me

San Jose, Northern (CA, KY)

Hybrid

USD 128,000 - 317,000

Full time

2 days ago
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Benefits offered by this job

Medical/Dental/Vision
401(k) with company match
Parental leave
Disability coverage
Life insurance
Wellbeing benefits
Paid holidays

Job summary

TikTok is seeking a Data Engineer to join the Data Platform team in California. You will design and optimize large-scale data transformations, build scalable big data systems, and contribute to core products used by hundreds of millions of users.

You will work with Hadoop, Spark, Hive, Kafka, and other technologies to enable reporting, growth analysis, and multi-dimensional insights. A Bachelor's degree is required; Master's preferred for advanced roles, with onboarding by year-end.

Qualifications

  • Bachelor's degree in a software/CS/CE related field or equivalent.
  • Experience with Big Data technologies (Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink).
  • Experience with data analysis, data ingestion and data integration.

Responsibilities

  • Design and build data transformations efficiently and reliably for reporting and growth analysis.
  • Design and implement reliable, scalable big data systems that support core products.
  • Establish solid design and best engineering practices for engineers and non-technical people.

Skills

Data transformations
ETL
Data analysis
SQL queries
Schema design
Data ingestion

Education

Bachelor's degree in Software Development/CS/CE or related
Master's degree preferred

Tools

Hadoop
MapReduce
Hive
Spark
Kafka
ClickHouse
Flink
Presto
Metastore
Flume

Job description

TikTok is seeking a Data Engineer to join the Data Platform team in California. You will design and optimize large-scale data transformations, build scalable big data systems, and contribute to core products used by hundreds of millions of users.

You will work with Hadoop, Spark, Hive, Kafka, and other technologies to enable reporting, growth analysis, and multi-dimensional insights. A Bachelor's degree is required; Master's preferred for advanced roles, with onboarding by year-end.

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