Owning 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
Develop relationships and processes with finance, sales, business operations, solution delivery team, partner, BD, and other cross-functional stakeholders
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.
Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.
Preferred candidate profile
5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Knowledge of distributed systems as it pertains to data storage and computing
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time