Data Engineer III

Our Opportunity:

Chewy is hiring a Senior Data Engineer for our Marketing Customer Engagement Platform team. Our engineering team is responsible for building and managing the tech stack supporting our Customer Relationship Marketing. The team is building platform capabilities and high performing data pipelines that are used to deliver highly personalized messages to our Pet Parents across Chewy’s on and off-site marketing channels (email, push, Chewy.com, Chewy app, social media handles). This person will be responsible for building a customer data platform in support of critical Enterprise Priorities.  The ideal candidate will have an interest in building data pipelines, an eye for data quality, and potentially a curiosity about or experience building APIs. 

What You’ll Do: 

• Develop and maintain complex data ingestion pipelines and transformations for data originating from multiple data sources (structured/unstructured)
• Assist in crafting proof of concepts and advise, consult, mentor, and coach other data engineering and analytics professionals on data standards
• Data cataloging and documentation of data sources
• Supervise data pipelines for accuracy, missing data, enhancements, changes, and billing volumes to ensure all data is assembled and processed accurately and when needed
• Build containerized applications with microservices architecture
• Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements.
• Work with multi-functional partners in defining and documenting requirements for building high-quality and impactful data products.
• Create operational reports using visualization/business intelligence tools.

What You’ll Need:

• 8+ years of proven experience in Data Engineering or Business Analytics roles working with ETL, Data Modeling, and Data Architecture, developing modem data pipelines and applications
• Expertise crafting and implementing enterprise data pipelines using data engineering approaches and tools including but not limited to:, Docker, Glue, cloud-native EDW (Snowflake, Redshift), Kafka, Athena
• Strong dimensional data modeling (Star, Snowflake) and ER modeling skills
• Proficiency building and maintaining infrastructure-as-code preferably with Terraform and AWS ecosystem
• Proficiency in SQL and one of Java, Python
• Experience with writing and reviewing version-controlled code (GitHub)
• Experience optimally presenting insights and summarizing sophisticated data to diverse audiences through visualizations.
• To be a self-starter with the ability to take initiative and drive projects forward independently.
• Experience working with and delivering to collaborators from multiple parts of the company.

Bonus:

• Some experience with API development
• Some experience with technologies like GraphQL, graph databases