Data Engineer II, Fleet Mobility AI, Robotics

3 weeks ago


Reading, Pennsylvania, United States Amazon Full time
About the Role

We are seeking a skilled Data Engineer to join our team at Amazon, working on high-performance autonomous systems that perceive and act to further improve our world-class customer experience. As a Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines to collect, clean, and store data from multiple diverse sources. You will work closely with cross-functional teams to gather and analyze data requirements for building state-of-the-art AI models.

Key Responsibilities

* Design and develop data pipelines to collect, clean, and store data from multiple sources
* Implement data quality and validation mechanisms to ensure data and model integrity
* Work closely with Science teams to assist downstream use cases of their models
* Optimize data processing, storage, and retrieval solutions for scalability, cost, and performance tradeoffs

About the Team

You will be joining a research/innovation team with diverse, passionate engineers and data scientists who are dedicated to pushing the boundaries of Warehouse Robotics. The team adopts a highly collaborative innovation management process and an agile framework. Your expertise will contribute to the groundbreaking advancements aspired by the team from ideation to production.

What We Offer

* Competitive salary and benefits package
* Opportunities for professional growth and development
* Collaborative and dynamic work environment

Requirements

* 3+ years of data engineering experience
* 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
* Knowledge of distributed systems as it pertains to data storage and computing
* Experience with data modeling, warehousing, and building ETL pipelines
* Experience working on and delivering end-to-end projects independently
* Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

Preferred Qualifications

* Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
* Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
* Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

How to Apply

If you are passionate about this role and want to make an impact on a global scale, please apply. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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