Our Opportunity:

Chewy’s Data Analytics team has an exciting opportunity for a Senior Data Engineer (Data Engineer III) to join the pack. In this role, you will leverage your extensive expertise in data engineering to support our Speech Analytics platform. You'll be integral in building and maintaining high-quality data pipelines that drive analytical solutions, driving strategy for VOC data democratization, collecting stakeholder requirements for metrics and visualization, and integrating additional metadata fields into our Speech Analytics platform to facilitate enhanced VOC and QA reporting. You will act as a technical lead/advisor for our customer experience survey mechanisms (CSAT/NPS) and support other ad hoc VOC experimentation and customer feedback data responsibilities as needed. As a key player, you will develop and implement advanced data products and technologies to meet our evolving business needs and redefine world-class customer service standards. Our fast-paced environment presents continuous new challenges and opportunities.

What You'll Do:

• Design and Optimize Data Systems: Develop, optimize, and maintain data architecture and pipelines using advanced design and programming patterns, adhering to best practices.
• Data Integration and Management: Manage and enhance our SSOT tables and data marts critical for daily business decisions.
• Collaborative Leadership: Act as a trusted advisor to analytics teams and business partners, providing expert consultation and communicating sophisticated data-driven insights.
• Mentorship: Mentor and coach peers on data standards and best practices, promoting a culture of continuous learning and improvement.
• Innovative Solutions: Lead the evaluation and deployment of cutting-edge tools and processes for data engineering to boost overall organizational productivity.
• Strategic Partnerships: Collaborate with leaders, vendors, and data practitioners across Chewy to develop technical architectures for strategic projects and initiatives.
• Documentation and Agile Practices: Document technical details of work and adhere to agile methodologies, utilizing tools such as Jira and Confluence.

What You'll Need:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• Professional Experience: At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
• Technical Proficiency: Expertise in SQL and programming languages such as Python; familiarity with big data technologies like Apache Hadoop, Spark, and Kafka.
• Leadership and Communication: Demonstrated ability to lead projects and communicate effectively with stakeholders at all levels.
• Innovative and Analytical Mindset: Strong problem-solving skills and the ability to adapt to new technologies and changing business requirements.

Bonus:

• Advanced Programming: Strong proficiency in Python.
• Industry Experience: Prior experience leveraging top Speech & Text Analytics/VOC/Customer Feedback Management software in e-commerce, retail, or startup environments.
• Certifications: AWS Developer or Data Analytics certifications.
• BI and Analytics Tools: Experience with BI tools such as Tableau, Power BI, or similar, and familiarity with Speech Analytics platforms like XM Discover, Qualtrics, or Clarabridge.