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
As a data engineer in AEE you will: - Design implement and support an analytical data infrastructure serving both business intelligence and machine learning applications
Managing AWS resources including EC2RedshiftEMR-Spark etc
Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE
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
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
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis prediction clustering and machine learning
Help continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers
Key job responsibilities
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
As a data engineer in AEE you will: - Design implement and support an analytical data infrastructure serving both business intelligence and machine learning applications
Managing AWS resources including EC2RedshiftEMR-Spark etc
Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE
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
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
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis prediction clustering and machine learning
Help continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers
- 3 years of data engineering experience
- 4 years of SQL experience
- 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)
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