Data Engineer III

7 hours ago


Bellevue, Washington, United States Chewy Full time
Job Title: Data Engineer III

Chewy's Data Analytics team is seeking a highly skilled Data Engineer III to join our pack. In this role, you will leverage your 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.

Key Responsibilities:
  • 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.
Requirements:
  • 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.

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