Are you passionate about developing the next generation of data infrastructure
capable of handling complex, mission-critical data pipelines and analytics
workloads? Do you want to build next generation data engineering solutions that
leverage the latest AWS technologies to process a broad range of business and
customer data?
Join our Pricing & Promotions Science, Data and Insights team, where you'll have
the opportunity to continuously improve the systems that enable Amazon's annual
worldwide revenue of billions of dollars.
Key job responsibilities
- Design, build, and operate highly scalable, fault-tolerant data processing
systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and
Lambda, and orchestration systems using Airflow
- Leverage your expertise in Python, Scala, or other modern programming
languages to develop custom data processing frameworks and automation tools
- Collaborate closely with data scientists, analysts, and product managers to
understand business requirements and translate them into technical solutions
- Continuously optimize data pipeline performance, reliability, and
cost-efficiency using best practices in CI/CD and infrastructure-as-code
- Mentor junior engineers and share your knowledge of data engineering best
practices
- Stay up-to-date with the latest big data technologies and architectural
patterns, and drive the adoption of innovative solutions
A day in the life
You will:
- Identify key areas of concerns/limitations with current architecture and build
next generation frameworks and systems that enable data teams to deliver on
future needs
- Build automated data quality monitoring, audit and reconciliation mechanisms
- Develop and maintain core infrastructure and services for multiple data
engineering teams
- Improve efficiency of operations in terms of cost, effort and reliability
About the team
The Pricing and Promotions Science Data and Insights Org strives to accelerate
Customer, Seller, and overall Amazon success through the proactive development
of automated intelligent pricing and promotions science and analytics systems.
We facilitate making trustworthy data-driven decision making at scale. We look
around corners for both long-term and short-term flywheel causal impacts, and
think holistically, from sourcing to CX, and all customer journey touch points
in between. Basic Qualifications: - 4+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data
extraction, ingestion, and processing of large data sets
- Experience in at least one modern scripting or programming language, such as
Python, Java, Scala, or NodeJS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis,
FireHose, Lambda, and IAM roles and permissions
- Experience with SQL
- Experience with data audit and reconciliation strategies.
- Experience with data pipeline orchestration frameworks, such as Airflow.
- Experience with streaming data processing technologies. Preferred
Qualifications: - Experience with non-relational databases / data stores (object
storage, document or key-value stores, graph databases, column-family databases)
- Experience providing technical leadership and mentoring other engineers for
best practices on data engineering
- Master's degree in computer science, engineering, analytics, mathematics,
statistics, IT or equivalent
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
[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.
The base salary for this position ranges from $103,300/year up to $172,600/year.
Salary is based on a number of factors 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.
Applicants should apply via our internal or external career site.
