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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

Preferred Qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

- Experience operating large data warehouses

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.