Genesis Global Recruiting Inc

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Data Scientist

Data science

Full Time

Glendale, CA, US

Posted this week

About the Job

Salary - $120000 - $160000/Year

TITLE: Data Scientist  

TYPE: Permanent / Full Time    

LOCATION: Glendale (closer to Burbank), CA 

** Hybrid Onsite/WFH

INDUSTRY: Retail – Publicly Traded

 

ROLE

Our client, the leader in their market, is currently looking for a Data Engineer to join their  Machine Learning Data & Analytics practice. The Data Engineer would help them build data products supporting analytics use cases by expanding and optimizing their data warehouse and data pipeline architecture. The ideal candidate is an experienced data pipeline builder with cloud experience who enjoys optimizing data systems and building them from the ground up through collaboration with business stakeholders and internal Data Analytics team members. This role will have significant ownership in the design and implementation of the future analytics data warehouse.

 

RESPONSIBILITIES

  • Maintain their data warehouse with timely and quality data
  • Build and maintain data pipelines from internal databases and APIs
  • Create and maintain architecture and systems documentation
  • Drive initiatives around architecture design and implementation
  • Plan and execute system expansion as needed to support the company's growth and analytic needs
  • Collaborate with Data Engineers and Data Scientists to drive efficiencies for their work
  • Collaborate with other functions to ensure data needs are addressed
  • Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed

 

QUALIFICATIONS

  • Bachelors/Masters in STEM fields such as computer science, math, physics, or business with a strong technical acumen required
  • 3+ years hands-on experience deploying production quality code
  • Demonstrably deep understanding of SQL and analytical data warehouses – they use BigQuery
  • Strong data modeling skills and familiarity with the Kimball methodology.
  • Hands-on experience implementing ETL (or ELT) best practices at scale

Posted this week

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