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Data Engineer
Posted on 7/1/2021
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Data Analysis
Data Science
Google Cloud Platform
Java
SQL
Python
Requirements
  • 2+ years of commercial experience crafting production quality products in Python or Java in a professional team setting
  • A proven track record of being comfortable with large volumes, think Petabytes, of complex data
  • Previous experience with building ETL pipelines or you have previous experience crafting data-related ingestion APIs
  • 2+ years of experience with SQL / query logic
  • A Bachelor's degree or above in Information Systems, Computer Science, or related field
  • Experience with data modeling
  • Experience working with large scale data processing engines, e.g. Apache Spark, GCP Cloud Dataflow
  • Knowledge on financial analysis and/or accounting systems
Responsibilities
  • Design, develop infrastructure, and maintain data warehouses to collect and deliver reliable performance reporting
  • Build sophisticated ETL pipelines to ingest, move, transform, and validate petabytes of structure data from diverse sources
  • Assist in owning existing processes running in production, optimizing complex code
  • Apply your expertise to design data models for optimal storage and retrieval and optimize existing pipelines
  • Collaborate cross functionally with finance, data science, and other engineering teams to understand needs and deliver valuable insights
Niantic

501-1,000 employees

Augmented reality platform
Company Overview
Niantic's mission is to use emerging technology to enrich our experiences as human beings in the physical world. The company builds products that inspire movement, exploration, and face-to-face social interaction.
Company Values
  • Start with a worthy goal
  • Invite everyone on board
  • Lead from the front
  • Set waypoints, and then stay on course
  • Speak the truth, to serve the mission
  • See it through
  • Weather storms
  • Summit mountains