Our Opportunity:

Chewy’s Data Analytics team has an exciting opportunity for a Data Engineer to join the pack. Leveraging your strong expertise and background in data engineering and data analysis, you will be a part of a team responsible for operational and tactical reporting generating insights to grow Customer Service operations and planning. This includes building high quality data pipelines that drives analytic solutions and creating data products for analytics and data scientist team members to improve their productivity. Our organization is a fast-paced environment with new challenges and new opportunities each day. You will be responsible for building and implementing data products and technologies which will handle the growing business needs and play a key role in redefining what it means to be a world-class customer service organization.

What You'll Do:

• Design, develop, optimize, and maintain data architecture and pipelines using design and programming patterns that follow best-in-class practices and principles.
• Manage, maintain, and improve our SSOT tables and data marts, which drive critical business decisions every day.
• Work closely with analytics teams and business partners, serving as a trusted partner who can advise, consult, and communicate data solutions.
• Mentor and coach other data practitioners on data standards and practices.
• Lead the evaluation, implementation and deployment of emerging tools and process for data engineering to improve overall productivity for the organization.
• Partner with leaders, vendors, and other data practitioners across Chewy to develop technical architectures for strategic enterprise projects and initiatives.
• Document technical details of work and follow agile sprint methodology, using tools like Jira, Confluence etc.

What You'll Need:

• Bachelor of Science or Master’s degree in Computer Science, Engineering, Information Systems, Mathematics or related field
• 5+ years of enterprise experience as a data engineer and/or software engineer
• 5+ years applying and implementing database and data modeling techniques
• 5+ years working with enterprise data warehouse (ex. Snowflake, Vertica) and cloud environments (ex. AWS)
• 5+ years of experience building data integrations and pipelines from data lake, APIs, relational databases, and third-party systems
• Strong software development skills in SQL
• Self-motivated with strong problem-solving and self-learning skills.

Bonus

• Strong working knowledge of Python programming
• Excellent communication and collaboration skills with ability to influence and guide stakeholders
• Experience building dimensional models in data warehouses
• Experience with data streaming tools and technologies like Kafka, Kinesis, or similar technologies
• AWS Developer Certifications
• E-commerce, Retail or startup experience
• Experience in BI tools such as Tableau, Plotly, Power BI, etc.