Elevate data-driven decisions as a Data Analytics
Engineer specializing in robust data modeling and dbt
transformation pipelines. Collaborate across teams to enhance
self-service analytics and ensure data
quality.
In this senior role, you will
leverage 5+ years of experience in analytics engineering and data
modeling. Your expertise with SQL optimization and dimensional
modeling will play a key role in building and maintaining robust
cloud data warehouses. You'll partner with data engineers while
focusing on data quality, documentation, and analytics best
practices.
Key Responsibilities : • Design
robust dimensional and relational data models • Build dbt
transformation and orchestration pipelines • Implement data quality
tests, monitoring, and SLAs • Collaborate with analysts and data
scientists on projects • Empower self-service analytics with
well-documented data marts
Requirements : • 5+
years in analytics engineering or data modeling • Expert-level SQL
skills for optimization and tuning • Experience with cloud data
warehouses like Snowflake • Familiarity with Airflow and CI / CD
processes • Bachelor’s Degree in a related technical
field
Utilize your analytical skills to
transform data into actionable insights while maintaining high
standards for quality and self-service capabilities.
J-18808-Ljbffr
FULL TIME
senior
4/29/2026
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