The Data Engineer will play a key role on the TDaaS team, responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders. You’ll leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient. You will collaborate with Data Engineers, Data Analysts, Data Scientists, DBAs, cross-functional teams, and business leaders. You will architect, design, implement and operate data engineering solutions using Agile methodology, that empower users to make informed business decisions.
The Data Engineer should be self-motivated, work independently, and have direct experience with all aspects of the software development lifecycle, from design to deployment. Have a deep understanding of the full data engineering lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. Strong candidates will have technical knowledge of BI systems design, big data architecture and technology landscape, API consumption, ETL/ELT orchestration, business intelligence tools. The candidate should have excellent organizational and communication skills and feel comfortable in a fast-paced environment.
You should have the ability to lead and take ownership of assigned technical projects in a fast-paced environment. Excellent written and speaking communication skills are required as we work in a collaborative cross-functional environment and interact with the full spectrum of business divisions. You must demonstrate insatiable curiosity and outstanding interpersonal soft skills. Ideal candidates have more than just knowledge or skill set, as they also have a can do mindset to find solutions.
This role may be located in Atlanta, GA or Minneapolis, MN