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A day in the life:
Plan, design, implement, and manage a deployment of self-service data platform & visualization in Quicksight
Create and maintain ETL procedures and SQL queries to bring data in from data warehouse and alternate data sourcesScripting language such as Python preferred
Establish scalable, efficient, automated processes for large scale data analyses
Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales managementKey job responsibilities
Key job responsibilitiesOwning the design, operations and improvements for the Organizations Datawarehouse infrastructure
Maintain, improve and manage all ETL pipelines and clusters
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Define metrics and KPIs to measure success of strategic initiatives and report on their progress
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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