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 members.If you're 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 you'll play a key role in solving one of the world's most complex technical challenges in data engineering.
You will utilize large-scale 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
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
