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Our Opportunity:Chewy is looking for a Data Engineer I to join our growing Transportation Systems team. You will get to work side by side with hard-working, passionate, and motivated engineers. You will have the opportunity to gain hands-on experience in the field of data engineering, working on different projects building data pipelines, ETL processes, and data warehouse management. The ideal candidate should have a strong interest in 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. If you are equally as passionate about supply chain, transportation, management information systems, e-commerce, and career growth, an opportunity at Chewy may be a match!
What You'll Do:
- Develop and Maintain data pipelines to extract, transform, and load (ETL) data from various sources into our data lake.
- Configure custom data pipelines within Snowflake/AWS/Databricks for ingestion
- Maintain real-time alarming and debugging tools
- Design and implement solutions on a cloud platform using Infrastructure as code (Terraform)
- Maintain, support, and develop within the Supply Chain - Transportation Data Mart Snowflake instance, including code build/review, auditing, performance tuning, and security.
- Create and maintain technical user documentation and models for the Data Mart
What You'll Need:
- Bachelor of Science or equivalent experience in Computer Science, Engineering, Information Systems or related field.
- Excellent verbal and written communication skills and the ability to explain details of complex concepts to non-expert partners in a simple and understandable way.
- Strong knowledge of SQL and relational databases
- Python programming skills for data processing and pipeline development
- Experience with ETL (Extract, Transform, Load) processes
- Basic knowledge of data warehousing concepts
- Familiarity with cloud platforms (especially AWS services like S3, Lambda, Airflow)
- Version control experience (Git)
Bonus:
- Experience of translating ambiguous customer requirements into clear problem definitions and delivering them.
- Design and execution experience of analytical projects.
- Experience with Python data libraries (pandas, numpy)
- Some exposure to big data technologies (Hadoop, Spark)
- Understanding of data modeling
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 [email protected].
If you have a question regarding your application, please contact [email protected].
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