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Full-Time

Senior Data Engineer

Confirmed live in the last 24 hours

Trove

Trove

51-200 employees

Branded resale solutions for fashion apparel

Data & Analytics
Consumer Software
AI & Machine Learning

Compensation Overview

$125.5k - $185.8kAnnually

+ Equity

Senior, Expert

Remote in USA

Category
Data Engineering
Data & Analytics
Required Skills
Redshift
Python
SQL
AWS
Data Analysis
Snowflake
Requirements
  • Bachelor’s degree in Engineering, or a related field (or equivalent practical experience)
  • 8+ years of experience in data engineering or a similar role
  • Strong expertise in data modeling, developing and implementing data mart and data warehouse solutions
  • Proven experience as a data mart developer or similar role in data warehousing projects with strong working knowledge and understanding of the data warehouse design methods, including data vault and dimensional modeling
  • Solid understanding of data modeling concepts (star schema, snowflake schema) and data warehouse design principles
  • Strong experience and proficiency in SQL, dbt, Redshift administration, including performance tuning, WLM and DMS
  • Proven experience in managing and administrating distributed databases
  • Experience in building data lakes, AWS and data-related services (e.g., Athena, S3, Glue)
  • Experience with Snowflake and Python is preferred
  • Familiarity with data governance practices and principles
  • Strong analytical skills and problem-solving aptitude with excellent communication and collaboration skills
Responsibilities
  • Extend and optimize the current ELT pipeline to help assemble complex data sets to address a diverse set of business and data analytics requests. Monitor the performance of data pipelines, troubleshoot and resolve data issues.
  • Design and develop data marts based on business requirements and data architecture principles. Optimize data mart schema and queries for performance and scalability.
  • Perform data validation and quality assurance activities to ensure accuracy and integrity of data
  • Create and maintain documentation for data mart designs, ETL processes, and data mappings
  • Evolve tools, best practices and processes to enable the Catalog Integration team to ensure catalog quality and freshness
  • Stay up-to-date with the latest data engineering technologies and best practices

Trove provides branded resale solutions for fashion and apparel, enabling brands to increase revenue from pre-loved items and enhance traffic through a circular business model. The technology utilizes computer vision, AI, and intelligent pricing to streamline reverse logistics and deliver a seamless branded resale experience.

Company Stage

Series E

Total Funding

$167.9M

Headquarters

Brisbane, California

Founded

2012

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

-4%