Data Engineer II, Davengers

DESCRIPTION: As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications?<br>As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications<br><br>Managing AWS resources including EC2,Redshift,EMR-Spark etc<br>Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE<br>Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation<br>Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies<br>Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency<br>Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning<br>Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers<br><br>Key job responsibilities<br>As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications?<br>As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications<br><br>Managing AWS resources including EC2,Redshift,EMR-Spark etc<br>Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE<br>Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation<br>Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies<br>Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency<br>Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning<br>Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers BASIC QUALIFICATIONS:

• 3+ years of data engineering experience<br>- 4+ years of SQL experience<br>- 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<br>- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)<br><br>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.