drjobs Data Engineer, CPSA

Data Engineer, CPSA

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Seattle - USA

Yearly Salary drjobs

$ 91200 - 185000

Vacancy

1 Vacancy

Job Description

We are looking for Data Engineer to push the boundaries of traditional thinking and innovate outside the box at Amazon scale.
As a member of CPSA team you will build and operate compensation data warehouse which helps multiple analytics and science team
by provide accurate and timely data. You will also be collaborating with multiple stakeholders and be working alongside
team of skilled team youre fired up about being part of a dynamic driven team then this is your moment to join us
on this exciting journey.


Key job responsibilities
Create scalable data solutions using AWS and/or Amazon internal tools.
Create and maintain business logic for data transformation and ingestion pipelines.
Create and maintain datasets in data lake and internal data management systems using S3/Glue.
Data investigation and analysis to understand the impact of changes on downstream customers use cases and build transformation logic to ingest data for data analysis.
Provide quality data for Amazon downs team data consumers.

A day in the life
As a member of CPSA team youll play a key role in solving one of the worlds most complex technical challenges in data engineering.
You will utilize largescale compute platform to build big datasets used in distributed systems for machine learning and statistical analysis.
Our Data Engineer needs to be able to gather and understand data requirements build and maintain big data sources to prepare data for machine learning models
data scientists business intelligent engineers and work with software engineers to achieve high quality data ingestion and transformation solutions.

3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell)

Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91200/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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. For more information please visit
This position will remain posted until filled. Applicants should apply via our internal or external career site.

Employment Type

Full-Time

Department / Functional Area

Data Engineering

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.