Data Engineer II, PXT EXR-Ops Tech

Amazon is a technology company focused on innovating on behalf of customers through customer-obsessed products and services. The Data Engineer II will create and maintain automated data processes, build scalable data models and ETL designs, develop data integration services and pipelines, and support business intelligence analytics in partnership with business leaders.

Responsibilities

Create and maintain efficient & automated processes

Model multidimensional datasets

Partner effectively with business leaders to build the right data pipelines to answer key business questions

Build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services

Support and manage growth of these data solutions

Preferred

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)

AWS

Amazon Redshift

Amazon S3

AWS Glue

Amazon EMR

Amazon Kinesis

Amazon Firehose

AWS Lambda

IAM roles

permissions

Non-relational databases

Object storage

Document stores

Key-value stores

Graph databases

Column-family databases

Benefits

Sign-on payments

Restricted stock units (RSUs)

Health insurance, including medical, dental, vision, prescription, Basic Life & AD&D insurance, and an option for Supplemental life plans

Employee Assistance Program (EAP)

Mental Health Support

Medical Advice Line

Flexible Spending Accounts

Adoption and Surrogacy Reimbursement coverage

401(k) matching

Paid time off

Parental leave

Company

Online retail and cloud computing services

Seattle, Washington, USA

https://amazon.com/

Founded in 1994

10001+ employees

Qualifications

3+ years of data engineering experience

1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience

1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience

1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience

1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience

3+ years of in the job offered or a related occupation experience

1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field

Experience with data modeling, warehousing and building ETL pipelines

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)

Required skills

Data Engineering, ETL/ELT Processes, OLAP Technologies, Data Modeling, SQL, Data Warehousing, Data Pipelines, Amazon Redshift, Amazon S3, AWS Glue, Amazon EMR, Amazon Kinesis, AWS Lambda, AWS IAM, Non-Relational Databases

Experience

3+ years