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Software Engineer - DLT PhD Candidates (2024 graduates)

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Databricks

25d ago

  • Job
    Full-time
    Entry Level
  • Software Engineering
  • Mountain View

AI generated summary

  • You must have a PhD in databases or systems, knowledge of distributed systems, storage systems, and performance optimization, and be driven by delivering customer value to excel in this role.
  • You will optimize query compilation, execute distributed queries, manage resources, coordinate transactions, and implement efficient storage structures for data processing.

Requirements

  • PhD in databases or systems
  • Knowledge of database systems, storage systems, distributed systems, and performance optimization
  • Motivated by delivering customer value and influence

Responsibilities

  • Query compilation and optimization
  • Distributed query execution and scheduling
  • Vectorized engine execution
  • Resource Management
  • Transaction coordination
  • Efficient storage structures (encoding, indexes)
  • Automatic physical data optimization

FAQs

What is the focus of the Delta Live Tables team (DLT)?

The Delta Live Tables team (DLT) focuses on simplifying the development and management of reliable batch and streaming data pipelines on the Databricks Lakehouse Platform.

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).