Overview
On Site
Full Time
Skills
Data Visualization
Analytical Skill
Promotions
Billing
Evaluation
Productivity
Communication
Data Analysis
Computer Science
Computer Engineering
Data Integration
RDBMS
Modeling
Data Modeling
Data Architecture
Reporting
Analytics
Python
SQL
Performance Tuning
Extract
Transform
Load
BMC Control-M
Scripting
Google Cloud
Google Cloud Platform
Amazon Web Services
Amazon S3
Tableau
Visualization
Business Intelligence
Problem Solving
Conflict Resolution
Retail
Startups
PyTorch
JavaScript
D3.js
RESTful
Vertica
PostgreSQL
Apache Airflow
Data Engineering
Apache Spark
PySpark
Java
Docker
Cloud Computing
Data Warehouse
Snow Flake Schema
Amazon Redshift
Apache Kafka
Confluence
Continuous Integration
Continuous Delivery
Law
Privacy
Job Details
Our Opportunity:
Chewy is growing! We are looking for a Manager, Data Engineering (Data Engingeer III), to join the pack. In this role, you will maximise your extensive expertise in data engineering will be integral in building and maintaining high-quality data pipelines that enable development of insights, data visualization, models and other analytical products. To deliver this, you will develop and implement advanced data products and technologies that scale to meet the needs of our evolving business. Our fast-paced environment presents continuous new challenges and opportunities. Does this sound like you? If so, we would love to hear from you!
What You'll Do:
What You'll Need:
Bonus:
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.
Chewy is growing! We are looking for a Manager, Data Engineering (Data Engingeer III), to join the pack. In this role, you will maximise your extensive expertise in data engineering will be integral in building and maintaining high-quality data pipelines that enable development of insights, data visualization, models and other analytical products. To deliver this, you will develop and implement advanced data products and technologies that scale to meet the needs of our evolving business. Our fast-paced environment presents continuous new challenges and opportunities. Does this sound like you? If so, we would love to hear from you!
What You'll Do:
- Implement the strategy, design, execution, system configuration of our promotion and ordering data
- Monitor data pipelines for accuracy, missing data, enhancements, changes, and billing volumes to ensure all data is collected and processed accurately and when needed.
- Work with multi-functional partners in defining and documenting requirements for building high-quality and impactful data products
- Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements
- Lead the evaluation, implementation, and deployment of emerging tools and technologies to improve our productivity as a team.
- Develop and deliver communication and education plans on data engineering capabilities, standards, and processes.
- Code, test, and document new or modified data systems to create robust and scalable applications for reporting and data analytics.
- Own and document data pipelines, monitoring, data accuracy and data lineage
- Lead a team of Data Engineers as a player-coach, setting the team up for success while being an important contributor as well.
What You'll Need:
- Bachelor's degree in Computer Science, Computer Engineering, or related field and 5+ years of experience developing Data Integration solutions required, or equivalent levels of relevant education and experience.
- This position requires tried experience in data warehousing practices and concepts as well as validated experience in dimensional and relational database modeling.
- 5+ years of Data Engineering experience focused on Data Modeling, Data Architecture, and Developing modern data pipelines and applications for reporting and analytics.
- Experience in working with retail data is a huge plus.
- 3+ years of professional Python experience.
- Experience in SQL, data warehouse, performance tuning, and ETL pipelines using AWS Glue, Control M, Pyspark, DBT and others.
- Experienced with setting up end-to-end data pipelines in an enterprise environment.
- Experience with Infrastructure, Scripting, and Architecture is very beneficial.
- Hands-on with Cloud computing technology like AWS, Google Cloud, etc.
- Experience with developing solutions for cloud computing services and infrastructure with AWS (S3, Athena, Glue, Lambda)
- Experience in Tableau, Looker, or similar visualization/business intelligence platform
- Ability to effectively operate both independently and as part of a team.
- Self-motivated with strong problem-solving and self-learning skills.
- E-com, Retail, or startup experience is a plus.
- 3+ years leading a team of data engineers
- The position may require travel
Bonus:
- PyTorch, JavaScript, D3.js & Restful API's
- Snowflake, Vertica, Postgres, etc.
- Exposure to Apache Airflow or other DAG or equivalent experience frameworks
- Expertise in designing and implementing data pipelines using modern data engineering approaches and tools: Spark, PySpark, Java, Docker, cloud-native DWH (Snowflake, Redshift), Kafka/Confluence, etc.
- Experience with CI/CD processes and platforms.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.