Data Engineer

Seattle, Washington, USA

Full Time
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Posted 1 month ago

In this role as a Data Engineer, you will lead the design and implementation of a large-scale, low latency, end to end platform which will serve reporting (near real-time as well as historical) and predictive analytics needs of the Worldwide Consumer HR org. You will partner with scientists, analysts, engineers and senior leaders to deliver scientific solutions that improve employee experience across Amazon.

A day in the life
The Data Engineer for this role will collaborate with stakeholders on Org Research & Measurement science and engineering teams to build ML platforms, data ingestion processes and service integrations. You will design and implement scalable and efficient ETL extract/load strategies using AWS tools in development and production environments. The Data Engineer will develop code to acquire/transform datasets for machine learning algorithms, analysis and reporting using Python/PySpark/SQL. You will test, validate and deploy code to production using software development frameworks and best practices.

About the hiring group
Amazon delights millions of customers around the world. Our work is dedicated to empowering leaders and enabling action through data and science. The Org Research and Measurement team builds science, reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team fulfilling an order in under an hour, or one of many more, the ORM team uses science, research and technology to optimize employee experience and performance across the full employee lifecycle. Our work is dedicated to empowering leaders and enabling action through data and science.



Job responsibilities
· In this role, you will lead the design of an end to end platform which will serve the historical reporting, real-time reporting and predictive analytics needs of the Worldwide Operations HR org.
· You should be well-versed in multiple DW, reporting and visualization platforms.
· You will have hands on experience with fast-growing and evolving datasets of large scale.
· You will understand the challenges of scaling analytical platforms globally, keeping the data security and regulations in mind.
· You will build scalable systems and solutions.


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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Basic Qualifications


· Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or 4+ years industry experience
· Demonstrated strength in data modeling, ETL development and data warehousing.
· Hands on experience with a variety of DW technologies such as Oracle, Redshift, PostgreSQL
· Efficient in SQL query performance tuning skills
· Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc.)
· Should be able to understand business requirements, convert them into technical solutions and deliver software incrementally
· Should be able to build and support large-scale data solutions serving a global customer base.

Preferred Qualifications

· Experience building data products incrementally and integrating and managing datasets from multiple sources
· Hands on experience with AWS technologies such as Redshift, S3, EC2, etc.
· Hands-on experience with Linux/UNIX based systems
· Experience in building real-time reporting and analytics solutions
Job tags: AWS Data Warehousing Engineering ETL Java Linux Machine Learning ML Oracle PySpark Python Redshift Research Ruby Security SQL
Job region(s): North America
Job stats:  14  1  0
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