Data engineering jobs at Google.

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Google · google.com · checked today

Data Engineer, YouTube Business Organization

Skills, with evidence

• Data modelling
  3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).must havewrong?
• SQL
  We use SQL and YouTube’s Extract, Transform, Load (ETL) systems to produce useful datasets, establish best practices for data sets and reporting, and develop a breadth of expertise in various data domains.must havewrong?
• Spark
  3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).must havewrong?
• Data quality
  Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets.must havewrong?
• AWS
  Experience with data warehouses, large-scale distributed data platforms, data lakes, artificial intelligence and Gen AI data applications.not practised herewrong?
• Streaming
  3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).wrong?
• Cost & performance
  Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines.wrong?
• Governance & security
  Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets.not practised herewrong?
• Machine learning
  Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models.not practised herewrong?