Job Description

DESCRIPTION

Amazon Fresh Grocery is seeking a talented and entrepreneurial Senior Data Engineer who is passionate about building and maintaining data ecosystems.

As the lead Data Engineer, you will be a strategic partner for fellow engineers, analysts, scientists, and business leads to solve the most complex data problems in the Grocery business. You will work with a wide range of tools and systems and stay abreast of emergent technologies and frameworks, knowing where and when to implement them. You will have strong data mining and modeling skills and be comfortable facilitating Think Big ideation, working from concept through to execution. You will partner with other engineering teams on solutions, federated governance, and overall data architecture and strategy. You will participate in the full development life cycle including design, implementation and testing, documentation, delivery, support, and maintenance.

Key job responsibilities
* Design, implement and support a self-serve data platform for engineers, scientists, and business stakeholders (for both technical and non-technical user groups)
* Build and maintain interoperable AWS components for data storage, computation, and compliance/privacy (e.g., EC2, EMR, S3, Glue, Redshift, etc.)
* Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools and notification systems
* Create automated alarming and dashboards to monitor data integrity
* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting (e.g., Python), and AWS technologies
* Influence the organization to adopt next-generation data technology and frameworks, knowing where and when to implement
* Partner with fellow engineers and scientists to build proof of concept applications (iterating and improving upon them over time) such as for business process automation, forecasting, and causal inference
* Produce and maintain comprehensive documentation and metadata for your solutions

BASIC QUALIFICATIONS

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

Job Tags

Full time,

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