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
