The Whole Foods Market (WFM) Grocery Data Team(GDT) is seeking an experienced and proven Senior Data Engineer (DE) to lead medium to large cross-functional strategic initiatives that support WFM strategic goals. This is a unique opportunity for someone inspired by WFM core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role.
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 WFM away from our patchwork of legacy 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 WFM.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 WFM 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 WFM and Amazon. 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!
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
6+ Years of experience with SQL and ETL development.
6+ Years of relevant work experience in a role requiring application of analytic skills
3+ Experience developing analytic insights and leveraging analytic tools such as Excel (or similar)
3+ Experience with a coding language (Java, Python, etc.)
3+ Experience managing AWS resources including EC2, EMR, S3, Glue, Redshift, Postgres SQL etc.
Excellent verbal/written communication skills
Demonstrated analytical and problem-solving skills
Openness and ability to learn new tools and concepts
Self-starter and motivated with a strong attention to detail and commitment to consistently meeting timelines and operating from a sense of urgency
Focused on continuous improvement of yourself, the team, and the systems we build
Advanced degree in Computer Science, Engineering, Mathematics, or a related field.
8+ years of experience
3+ years of coding with Python or Java
5+ Experience managing AWS resources including EC2, EMR, S3, Glue, Redshift, Postgres SQL etc.
At Whole Foods Market, we provide a fair and equal employment opportunity for all Team Members and candidates regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity/expression, age, marital status, disability, or any other legally protected characteristic. Whole Foods Market hires and promotes individuals solely based on qualifications for the position to be filled and business needs.
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