The Alexa Daily Essentials team delivers experiences critical to how customers
interact with Alexa as part of daily life. Alexa users engage with our products
across experiences connected to Timers, Alarms, Calendars, Food, and News. Our
experiences include critical time saving techniques, ad-supported news audio and
video, and in-depth kitchen guidance aimed at serving the needs of the family
from sunset to sundown.
As a Data Engineer on this team, you will built data pipeline and analytics
solutions for our internal customers to answer question with data, drive
critical business decisions and product quality improvements for our customers.
Our Data Engineers use best practices in software engineering, data management,
data storage and compute. You will work on a cross-functional team with other
data engineers and scientists, and drive changes that directly impact our
customers.
Key job responsibilities
Data Infrastructure
- Architect and develop robust data pipelines that ingest and transform data for
business intelligence analytics
- Maintain data pipelines using scripting languages such as Python, Spark, SQL
and AWS services such as S3, Glue, Lambda, SNS, SQS, KMS
- Design and implement scalable data infrastructure supporting Redshift clusters
and visualization dashboards that serve product stakeholders
- Build self-serve data platforms to enable scientists and business stakeholders
to answer business questions with data. Implement and support reporting and
analytics infrastructure for internal customers.
- Ensure compliance with data governance. Address data access restrictions while
maintaining adherence to data protection policies and security standards
- Implement data quality monitoring mechanisms with alerting for pipeline
failures or anomalies. Ensure data and reporting consistency across the
organization
Communication
- Excel at communicating complex ideas to technical and non-technical audiences.
- Build relationships with product and engineering stakeholders and
counterparts.
- Work with stakeholders to gather requirements, and translate business needs
into data engineering solutions
- Work cross-functionally across product and engineering teams to drive adoption
of data assets
Operations
- Drive automation and operational excellence in data infrastructure. Reduce
manual intervention and improve system reliability.
- Scale existing solutions. Create new solutions as required based on team and
stakeholder needs.
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
- Experience building data products incrementally and integrating and managing
data sets from multiple sources Preferred Qualifications: - Experience with big
data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Experience communicating with users, other technical teams, and management to
collect requirements, describe data modeling decisions and data engineering
strategy
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 $135,700/year up to $226,500/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.
