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Description

Are you excited about developing state of the art Machine Learning (ML) capabilities to power Amazon's robotic storage solutions? Are you looking for opportunities to leverage Big Data to build and deploy ML models on real problems at truly vast scale? At Amazon Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale.

Robotic Storage Technologies (RST) is growing a team with Data and ML expertise as we transform Amazon's warehousing solutions through the power of Artificial Intelligence (AI). The team owns robotic storage solutions driven by the largest Robotic Fleet in the world. We are seeking an experienced Senior Data Engineer who is passionate about exploring the use of big data technology to power ML-based allocation services to accelerate the rate at which customer orders can be fulfilled through always-optimal performance in dynamic production environments.

The ideal candidate brings a strong foundation in data modeling, ETL/ELT architecture, and cloud computing, complemented by an expert-level comprehension of ETL concepts. They have experience working with Big Data Processing engines, and depth in the underlying mechanics. The ideal candidate promotes inclusivity and thrives in collaborative team environments. If you are a self-driven learner who is motivated by exploring new technologies and pushing the boundaries of what is possible, then this is the job for you!

Key job responsibilities

- Lead the design, development, and maintenance of data pipelines that will collect, clean, and store data from multiple diverse sources.

- Collaborate with engineers and scientists to deliver high quality data architecture and pipelines.

- Optimize data processing, storage, and retrieval solutions for scalability, cost, and performance tradeoffs.

- Propagate data issues and opportunities to team and partners

- Oversee and contribute to the implementation of data quality and validation mechanisms to ensure data and model integrity.

- Mentor team members on technical improvement and long-term growth.

- Drive the vision and influence the technical roadmap for the team.

A day in the life

As a Senior Data Engineer, you will be a technical leader in data initiatives. You will lead data engineering activities in all agile ceremonies. This includes planning, daily updates, reviews, and retrospectives. You will work closely with data scientists, applied scientists, software engineers, and other data professionals. Together, you'll gather requirements, set goals, and track progress. You will conduct data exploration, profiling, and cleaning activities. These efforts will support data analysis and model building. You will design and implement data pipelines. When issues arise, you will troubleshoot and communicate findings to stakeholders. As a senior member, you will mentor other engineers and scientists. You will share your knowledge across teams and contribute to the Data Engineering Community of Practice across Amazon Robotics.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

This is a growing team of Machine Learning and Simulation engineers within the broader Robotic Storage Technologies (RST) organization. RST owns Automated Storage and Retrieval (ASRS) solutions with Amazon Fulfillment Centers across the globe. We provide innovative solutions enabling faster delivery of Amazon.com goods to customers at lower costs.

Basic Qualifications

- 5+ years of data engineering experience

- Experience with data modeling, warehousing and building ETL pipelines

- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

- Experience mentoring team members on best practices

- Experience with both SQL and NoSQL

Preferred Qualifications

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

- Experience operating large data warehouses

- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

- Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM

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

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.