Chewy-posted about 1 year ago
Full-time • Senior
Boston, MA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

Chewy is seeking a Senior Data Engineer for the Marketing Customer Engagement Platform team. This role involves building and managing the technology stack that supports Customer Relationship Marketing, focusing on developing high-performing data pipelines to deliver personalized messages to customers across various marketing channels. The ideal candidate will have a strong background in data engineering, with a focus on data quality and experience in building APIs.

  • Develop and maintain complex data ingestion pipelines and transformations for data from multiple sources.
  • Assist in crafting proof of concepts and mentor other data engineering and analytics professionals on data standards.
  • Catalog and document data sources.
  • Supervise data pipelines for accuracy and ensure all data is processed accurately and timely.
  • Build containerized applications with microservices architecture.
  • Reconcile data issues and alerts between systems, driving innovation and improvements.
  • Collaborate with multi-functional partners to define and document requirements for data products.
  • Create operational reports using visualization/business intelligence tools.
  • 8+ years of experience in Data Engineering or Business Analytics roles with ETL, Data Modeling, and Data Architecture.
  • Expertise in crafting and implementing enterprise data pipelines using tools like Docker, Glue, Snowflake, Redshift, Kafka, and Athena.
  • Strong skills in dimensional data modeling (Star, Snowflake) and ER modeling.
  • Proficiency in infrastructure-as-code with Terraform and AWS ecosystem.
  • Proficiency in SQL and one of Java or Python.
  • Experience with version-controlled code (GitHub).
  • Ability to present insights and summarize data through visualizations.
  • Self-starter with initiative to drive projects independently.
  • Experience collaborating with various parts of the company.
  • Some experience with API development.
  • Some experience with technologies like GraphQL and graph databases.
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