Data Engineer III

Tulane University
New Orleans, LA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Windows Agile Methodology Data Analysis Databases Data Architecture Data Integrity Extract Transform Load (ETL) Data Visualization Data Warehousing Linux Graph Database IBM Cognos Business Intelligence
+8 more
Microsoft SQL Server MicroStrategy NoSQL Oracle (Applications) Power BI SQL Databases Information Technology Data Management

Job description

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.

Requirements

Do you have experience in Windows?, Do you have a Bachelor’s degree?, * Bachelor’s Degree in Computer Science or a related field and six (6) 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., * 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.

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