Key job responsibilities
We are seeking an experienced Sr. Data Engineer who will leverage their experience and talent to lead data integration, reporting, and analytics projects. This high impact role will be part of a team that will design and build our north star data infrastructure moving WWGDT away from our patchwork of 3p solutions. You will partner with other Data Engineers along with Software Developers, Business Intelligence Engineers, Analysts, Product Manager, and Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will use your organization skills, backbone, and high sense of ownership while collaborating with the rest of your team. You will have an opportunity to make a large impact on our modernized design, architecture, and development of data products. You will be a part of a data engineering team well versed in the legacy solutions and be asked to contribute to deliver on the future vision.
A day in the life
Work with your leadership to define and execute the data engineering strategy for WWGDT.
Leverage SQL and coding skills (e.g., python, java, etc.) to extract, transform, and load data.
Collaborate with internal and external teams to scope, design, build, and support data pipelines focusing on performance, cost, operational excellence, continuous improvement as well as delivering business value.
Work within multiple technology stacks including working within custom built proprietary AWS framework to deliver data solutions
Participate and lead standups and design sessions, maintain Jira health, and create artifacts
Lead and mentor your peers
About the team
We enable sophisticated, fact-based decision making across WWGS by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WWGS and WholeFoods Market(WFM). You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. You will be based out of Austin, TX, one of the best places to live and work. Most importantly, you’ll be contributing to WFM's Higher Purpose of Nourishing People and the Planet!
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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