Our Opportunity: Chewy is hiring a Big Data Engineer in Boston, MA, Minneapolis, MN or Plantation, FL for our HR System Integrations team. The ideal candidate will have extensive and diverse experience building and maintaining cloud databases, ingesting data using a variety of methods (including non-SQL technologies like SOAP and REST) and working on joining datasets from different cloud-based source systems in a centralized database. The HR System Integrations team's mission is to enable Chewy's exponential growth through scalable HR system integrations, data engineering and consumable data products. This is an excellent opportunity that offers exposure across our entire HR data ecosystem. If you're passionate about AWS and cloud technology, database engineering, love fast-paced, tiger team cross-functional collaboration, and are excited to empower an exponentially growing organization, apply here! What You'll Do: Design and implement a scalable data platform including data management and governance, and integrate structured, and unstructured data using cloud-based services. Design and implement solutions on a cloud platform utilizing Infrastructure as code (Terraform). Configure custom data pipelines within AWS/Databricks for ingestion into Data Mart Maintain, support, and develop within the HR Data Mart Snowflake instance, including code build/review, auditing, performance tuning, and security. Create and maintain technical documentation and models for the Data Mart Obsess about data integrity, accuracy, and understanding of complex/evolving HR data relationships. Partnering with our Enterprise People Analytics team, grow our data infrastructure to support stakeholder insight goals. What You'll Need: 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera. 5+ years of experience in building scalable data pipelines from a variety of sources such as APIs, databases, and processing semi-structured and unstructured data. Highly skilled and hands-on team member to design, and develop data pipelines using Python, Spark, Spark streaming and Kafka. Experience working with Infrastructure as Code preferably Terraform. 5+ years' experience with relational databases (Snowflake, Redshift etc.) and SQL Proficient in at least one of the programming languages such as Python/Java/GO. Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime. Experience with Web Service testing tools such as SoapUI and Postman Understanding of Agile methodology, GitHub and CI/CD pipelines Bonus (if applicable): AWS solution architect certification a huge plus Experience managing HR data a plus. Strong background working with and maintaining database security and access. Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact . If you have a question regarding your application, please contact . To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

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: <ul><li>Design and Optimize Data Systems: Develop, optimize, and maintain data architecture and pipelines using advanced design and programming patterns, adhering to best practices.</li><li>Data Integration and Management: Manage and enhance our SSOT tables and data marts critical for daily business decisions.</li><li>Collaborative Leadership: Act as a trusted advisor to analytics teams and business partners, providing expert consultation and communicating sophisticated data-driven insights.</li><li>Mentorship: Mentor and coach peers on data standards and best practices, promoting a culture of continuous learning and improvement.</li><li>Innovative Solutions: Lead the evaluation and deployment of cutting-edge tools and processes for data engineering to boost overall organizational productivity.</li><li>Strategic Partnerships: Collaborate with leaders, vendors, and data practitioners across Chewy to develop technical architectures for strategic projects and initiatives.</li><li>Documentation and Agile Practices: Document technical details of work and adhere to agile methodologies, utilizing tools such as Jira and Confluence.</li></ul> What You'll Need: <ul><li>Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field.</li><li>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.</li><li>Technical Proficiency: Expertise in SQL and programming languages such as Python; familiarity with big data technologies like Apache Hadoop, Spark, and Kafka.</li><li>Leadership and Communication: Demonstrated ability to lead projects and communicate effectively with stakeholders at all levels.</li><li>Innovative and Analytical Mindset: Strong problem-solving skills and the ability to adapt to new technologies and changing business requirements.</li></ul> Bonus: <ul><li>Advanced Programming: Strong proficiency in Python.</li><li>Industry Experience: Prior experience leveraging top Speech & Text Analytics/VOC/Customer Feedback Management software in e-commerce, retail, or startup environments.</li><li>Certifications: AWS Developer or Data Analytics certifications.</li><li>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.</li></ul> Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Our Opportunity:
Chewy is hiring a Big Data Engineer in Boston, MA, Minneapolis, MN or Plantation, FL for our HR System Integrations team. The ideal candidate will have extensive experience building and maintaining cloud databases, ingesting data using various methods, and working on joining datasets from different cloud-based source systems in a centralized database. The HR System Integrations team’s mission is to enable Chewy's growth through scalable HR system integrations, data engineering, and consumable data products. If you're passionate about AWS, cloud technology, database engineering, and cross-functional collaboration, apply here!
What You’ll Do:
Design and implement a scalable data platform including data management and governance, and integrate structured and unstructured data using cloud-based services.
Design and implement solutions on a cloud platform utilizing Infrastructure as code (Terraform).
Configure custom data pipelines within AWS/Databricks for ingestion into Data Mart
Maintain, support, and develop within the HR Data Mart Snowflake instance, including code build/review, auditing, performance tuning, and security.
Create and maintain technical documentation and models for the Data Mart
Obsess about data integrity, accuracy, and understanding of complex/evolving HR data relationships.
Partnering with our Enterprise People Analytics team, grow our data infrastructure to support stakeholder insight goals.
What You’ll Need:
5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
5+ years of experience in building scalable data pipelines from a variety of sources such as APIs, databases, and processing semi-structured and unstructured data.
Highly skilled team member to design and develop data pipelines using Python, Spark, Spark streaming, and Kafka.
Experience working with Infrastructure as Code preferably Terraform.
5+ years' experience with relational databases (Snowflake, Redshift etc.) and SQL
Proficient in at least one of the programming languages such as Python/Java/GO.
Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime.
Experience with Web Service testing tools such as SoapUI and Postman
Understanding of Agile methodology, GitHub, and CI/CD pipelines #J-18808-Ljbffr

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Data Engineer Chewy Jobs

Big Data EngineerJuly 17, 2024

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