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WeWork is transforming buildings into beautiful, collaborative workspaces for creators.
 
Engineering, Full Time    San Francisco    Posted: Friday, December 07, 2018
 
   
 
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JOB DETAILS
 

At WeWork, data sits in the center of our business, providing insights into the effectiveness of our physical & digital product & features. We believe data brings everything together & it is the only way we make decisions.

WeWork Central Data & Analytics is a team constantly striving to create an amazing experience for our customers & internal teams. We regard culture & trust highly & believe you will have positive influence in your own way.

If you're passionate about building scalable data & analytics models & architecture, & you are motivated to make an impact in creating robust & scalable data models used by every team, come join us. You will help shape the vision & architecture of WeWork's next generation of central data models, making it easy for analytics, data scientist & other data consumer to build data-driven products, features & insights. Youll be responsible for developing a reliable data & analytics architecture that scales with the company's incredible growth. You will be a part of an experienced engineering team & work with passionate leaders on challenging data space.

Responsibilities

  • Lead team to deliver large-scale projects, set & drives roadmap execution through resource planning & allocation
  • Architect & design large scale data analytics infrastructure in production (performance, reliability, monitoring, self-service)
  • Serve data models as a product to entire organization, including design, implementation & debugging
  • Thinking through long-term impacts of key design decisions & handling failure scenarios
  • Building self-service platforms to power WeWork's cross functional teams & drive the whole organization to be data-driven

Requirements

  • 7+ years of experience in data engineering
  • 3+ years hiring, managing & mentoring teams of data engineers
  • Experience working closely with Analytics/Data Science teams
  • Excellent communication skills, empathy, initiative & ownership
  • Strong background in concept & design in data warehousing & software engineering
  • Proficient in SQL
  • Proficient in at least one of the programming languages (Python, bash, Java, etc)
  • Experience with one or more of the following technologies:
  • Database & Data Warehouse Solutions: Redshift, Snowflake, Postgres
  • Workflow management: Airflow, Oozie, Azkaban
  • Cloud storage: S3, GCS
  • Reporting & Business Intelligence Solutions: Looker, Tableau, etc
  • CRM Solutions: Salesforce
  • Distributed logging systems Kafka, Pulsar, Kinesis, etc
  • Batch processing: Spark, Hadoop, etc
  • IDL: Avro, Protobuf or Thrift
  • Eager to learn new things & passionate about technology

We are an equal opportunity employer & value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 
 
 
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