Data Engineer, Darden School of Business
Charlottesville, Virginia
Employer: Virginia Jobs
Industry: Information Management, Services & Technology
Salary: Competitive
Job type: Full-Time
The University of Virginia Darden School of Business, one of the world's leading business schools, seeks a highly skilled and motivated Data Engineer to join its Strategic IT Data & Analytics team. As a Data Engineer, the role will play a crucial role in building and maintaining our data infrastructure, ensuring the efficient extraction, loading and transformation (ELT) of data from various sources into our cloud data environments.
The ideal candidate should have hands-on experience with ELT processes in Databricks. If you are passionate about data engineering, have strong analytical skills, a passion for higher education and enjoy working in a collaborative environment, we would love to hear from you. While the position is based in Charlottesville, VA, we offer the opportunity for the employee to work remotely for most of the year. However, we do require that the employee be onsite for one week every quarter.
Responsibilities:
Apply online using the following link: http://jobs.virginia.edu/us/en/job/R0064969/Data-Engineer-Darden-School-of-Business . Internal applicants must apply through their UVA Workday profile. Complete the application, and upload the following Required materials:
For this position, the selected candidate will need to complete the required background checks prior to the start date of the position.
This position will remain open until filled.
Questions regarding the application process should be directed to Marcus Rozier, Academic Recruiter, at hjv5vm@virginia.edu .
The ideal candidate should have hands-on experience with ELT processes in Databricks. If you are passionate about data engineering, have strong analytical skills, a passion for higher education and enjoy working in a collaborative environment, we would love to hear from you. While the position is based in Charlottesville, VA, we offer the opportunity for the employee to work remotely for most of the year. However, we do require that the employee be onsite for one week every quarter.
Responsibilities:
- Develop and implement efficient and scalable metadata-driven data pipelines using cloud-based ELT pipelines to support our data processing and analytics needs.
- Collaborate with cross-functional teams, including data analytics developers, functional analysts, and business stakeholders, to understand data requirements and ensure the smooth integration of data sources.
- Build models, data integration workflows, and data transformation processes to support data analysis, reporting, and visualization.
- Develop, orchestrate, and maintain data pipelines and data processing workflows, ensuring data quality, reliability, and performance.
- Develop and maintain continuous integration/continuous deployment (CI/CD) pipelines for data engineering artifacts.
- Identify and address performance bottlenecks and data quality issues in collaboration with data operations team.
- Monitor and troubleshoot data pipelines to ensure high availability, scalability, and optimal performance.
- Develop and maintain integrations between the cloud data platform and the enterprise data governance platform.
- Assist in implementing data governance and security measures to ensure compliance with data protection regulations and industry best practices.
- Stay current with emerging trends, design patterns and technologies in data engineering and cloud-based data processing to drive continuous improvement and innovation within the organization.
- Bachelor's degree in Computer Science, MIS, Computer Engineering, Business Administration or related discipline needed with at least five years of professional work experience. Relevant experience may be considered in lieu of a degree. A Master's degree is a plus.
- Certification as Databricks Data Engineer Associate or Professional, or demonstrated progress to complete certification within six months of joining.
- Proven work experience as a Data Engineer or in a similar role, with a focus on developing and implementing data pipelines and ETL/ELT processes.
- Strong proficiency in working with Databricks and Unit strongly preferred.
Apply online using the following link: http://jobs.virginia.edu/us/en/job/R0064969/Data-Engineer-Darden-School-of-Business . Internal applicants must apply through their UVA Workday profile. Complete the application, and upload the following Required materials:
- Resu me
- Cover letter detailing your interest in the position
For this position, the selected candidate will need to complete the required background checks prior to the start date of the position.
This position will remain open until filled.
Questions regarding the application process should be directed to Marcus Rozier, Academic Recruiter, at hjv5vm@virginia.edu .
Created: 2024-09-07
Reference: R0064969_biK0Z71vzAR2
Country: United States
State: Virginia
City: Charlottesville
ZIP: 22901
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