Position Details
About this role
This role involves leading the design and implementation of large-scale data systems, focusing on real-time streaming, data quality, and AI/ML integration within Chewy's data ecosystem.
Key Responsibilities
- Design scalable data architectures
- Mentor data engineers
- Implement real-time streaming solutions
- Establish data quality standards
- Collaborate with data science teams
Technical Overview
The technical environment includes Python, SQL, Snowflake, Kafka, AWS, Terraform, and data pipelines, with a focus on automation, observability, and AI/ML applications.
Ideal Candidate
The ideal candidate is a senior data engineer with over 6 years of experience in designing large-scale data architectures, proficient in Python, SQL, Snowflake, Kafka, and AWS, with a strong background in data quality and observability.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 6 years of experience, Lack of proficiency in Python and SQL, No experience with Snowflake or Kafka
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