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You must be able to prioritize and work well in an environment with competing demands. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage large-scale data modeling projects, identify requirements and tools, build data warehousing solutions that are explainable and scalable. In addition to the technical skills, a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise.
Key job responsibilities
- Design, implement and support an analytical data infrastructure
- Manage AWS resources including EC2, EMR, S3, Glue, Redshift, etc.- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Maintain internal reporting platforms/tools including troubleshooting and development. Interact with internal users to establish and clarify requirements in order to develop report specifications.
- Work with Engineering partners to help shape and implement the development of BI infrastructure including Data Warehousing, reporting and analytics platforms.- Write advanced SQL queries and Python code to develop solutionsA day in the life
This role requires you to live at the intersection of data, software, and analytics. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, Glue.
You will drive the development process from design to release.
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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