The Data Engineer III is responsible for the installation, testing, maintenance, and development of scalable data-management systems. The Data Engineer III is responsible for the design, execution, and monitoring of Extract, Transform, Load (ETL) operations. As a senior member of the Business Intelligence team, the Data Engineer will design solutions independently and with the Data Architects. The Data Engineer is able to perform complex data modelling. Additional responsibilities of the position include conducting data analysis, data integrity, and quality assurance testing; creating reports and dashboards for data consumption by the user community; assisting the Data Architect Team with evaluating data-management technologies; and performing other related tasks as assigned.
Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities.
Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.
REQUIRED EDUCATION AND EXPERIENCE:
PREFERRED QUALIFICATIONS:
Business Intelligence experience in Higher Education.
Excellent oral and written communication skills.
Excellent analytical and problem-solving skills.
Ability to effectively identify and troubleshoot issues, as well as provide viable solutions and/or recommendations.
Highly proficient in data analysis and data management skills.
Working knowledge of Agile Practices.
Familiarity with multiple programming languages and frameworks.
Working knowledge of SDLC Methodologies and Practices.
Sound knowledge of SQLServer, Oracle, NoSQL and Graph databases.
Demonstrated proficiency in the utilization of Data Visualization tools (Cognos, Power BI, MicroStrategy, or similar tools.
Proficient use of Informatica or similar ETL tools.
Ability to efficiently install and support data management systems, including databases, data design software, and ETL software.
Excellent oral and written communication skills.
Excellent analytical and problem-solving skills.
Ability to effectively identify and troubleshoot issues, as well as provide viable solutions and/or recommendations.
Highly proficient in data analysis and data management skills.
Working knowledge of Agile Practices.
Familiarity with multiple programming languages and frameworks.
Working knowledge of SDLC Methodologies and Practices.
Sound knowledge of SQLServer, Oracle, NoSQL and Graph databases.
Demonstrated proficiency in the utilization of Data Visualization tools (Cognos, Power BI, MicroStrategy, or similar tools.
Proficient use of Informatica or similar ETL tools.
Ability to efficiently install and support data management systems, including databases, data design software, and ETL software.