Data Engineer II

Tulane UniversityNew Orleans, LA
45d

About The Position

The Data Engineer II is responsible for the installation, testing, maintenance, and development of scalable data-management systems. The Data Engineer II is responsible for the design, execution and monitoring of Extract, Transform, Load (ETL) operations. The Data Engineer II is responsible for basic 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 performs other related tasks as assigned.

Requirements

  • 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 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.
  • Bachelor's Degree in Computer Science or a related field and four (4) years' IT experience, including SQL, Data Modeling tools, ETL, Data Warehousing, Data Visualization, Linux and Windows OS experience, plus one (1) year Agile Project Management experience.

Nice To Haves

  • Business Intelligence experience in Higher Education.

Responsibilities

  • installation, testing, maintenance, and development of scalable data-management systems
  • design, execution and monitoring of Extract, Transform, Load (ETL) operations
  • basic data modelling
  • 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

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Educational Services

Number of Employees

1,001-5,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service