Data Engineer, Whole Foods Market, E-commerce Analytics
Amazon
Data Engineer, Whole Foods Market, E-commerce Analytics
Job Description
We are seeking a Data Engineer to join the Product & E-commerce Analytics team supporting Whole Foods Market's (WFM) digital presence. In this position, you will be responsible for architecting robust data infrastructures and developing advanced data pipelines to unlock the full potential of our expansive data landscape. Key job responsibilities - Help build the infrastructure that powers data-driven decision making. Utilize software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems. - Manage and optimize usage of cloud computing resources, particularly on AWS, to support data infrastructure. - Collaborate with Business Intelligence Engineers to establish best practices for data reporting, analysis, integrity, testing, validation, and documentation. - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning. - Drive the architecture and technology decisions that enable a world-class user experience. - Develop in-depth knowledge of the Amazon's various data sources to determine the appropriate data resources for each use case. - Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions - Thrive in an environment with a degree of ambiguity, quickly building proof of concepts, iterating, and improving data-driven solutions. - Create extensible designs and easy to maintain solutions with the long term vision in mind. - Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value.
Locations
- Austin, Texas, United States
- Austin, Texas, United States
- Seattle, Washington, United States
Salary
132,100 - 178,800 USD / yearly
Skills Required
- data modelingintermediate
- AWS technologies like Redshiftintermediate
- non-relational databases / data storesintermediate
Required Qualifications
- 3+ years of data engineering experience (experience, 3 years)
- Experience with data modeling, warehousing and building ETL pipelines (experience)
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions (experience)
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) (experience)
Responsibilities
- Help build the infrastructure that powers data-driven decision making. Utilize software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems.
- Manage and optimize usage of cloud computing resources, particularly on AWS, to support data infrastructure.
- Collaborate with Business Intelligence Engineers to establish best practices for data reporting, analysis, integrity, testing, validation, and documentation.
- Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning.
- Drive the architecture and technology decisions that enable a world-class user experience.
- Develop in-depth knowledge of the Amazon's various data sources to determine the appropriate data resources for each use case.
- Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions
- Thrive in an environment with a degree of ambiguity, quickly building proof of concepts, iterating, and improving data-driven solutions.
- Create extensible designs and easy to maintain solutions with the long term vision in mind.
- Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value.
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer, Whole Foods Market, E-commerce Analytics @ Amazon.
10 Questions
~2 Minutes
Instant Score