Data Engineer II , Paragon Case Management Insights Data Platform
Seattle, Washington
Paragon Case Management Insights (PCMI) Data Platform team's mission is to empower Selling Partner (SP) Support Operations, SP Support Experience & Root-cause teams and Case Management tenants to make data driven decisions and derive insights.
As a Data Engineer, We have an immediate need for creative and driven Engineer who have a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile and help build metrics for business and operational performance to be used on daily basis. You will work on enabling the launch of Data Lakehouse using NAWS architecture as a new data-warehousing solution designed to optimize ELT for analytics platform, real time streaming and global catalog for the data lake. Build data pipelines framework using CDK constructs and CICD automated packages to reduce operational overhead and increase development velocity for data engineering.
Key job responsibilities
* Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.)
* Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
* Develop new data models and end to data pipelines.
* Lead design reviews for other Data Engineers on the team and actively participate in design reviews.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/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. Applicants should apply via our internal or external career site.
As a Data Engineer, We have an immediate need for creative and driven Engineer who have a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile and help build metrics for business and operational performance to be used on daily basis. You will work on enabling the launch of Data Lakehouse using NAWS architecture as a new data-warehousing solution designed to optimize ELT for analytics platform, real time streaming and global catalog for the data lake. Build data pipelines framework using CDK constructs and CICD automated packages to reduce operational overhead and increase development velocity for data engineering.
Key job responsibilities
* Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.)
* Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
* Develop new data models and end to data pipelines.
* Lead design reviews for other Data Engineers on the team and actively participate in design reviews.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/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. Applicants should apply via our internal or external career site.
Created: 2024-06-01
Reference: 2552139
Country: United States
State: Washington
City: Seattle
ZIP: 98109
About Amazon
Founded in: 1994
Number of Employees: 1600000
Website: https://www.amazon.com/
Career site: https://www.amazon.jobs/en/
Instagram: https://www.instagram.com/amazon/
LinkedIn: https://www.linkedin.com/company/amazon/
Facebook: https://www.facebook.com/Amazon
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