The IU Network Science Institute (IUNI) is seeking a Data Manager (Database Developer) who will support and collaborate with IUNI’s existing IT team and key stakeholders in the planning, design, programming, testing, implementation, and support of various systems. As a member of the IT Team, you will fill a vital role in our cross disciplinary team by bringing your expertise to both existing and exciting new projects in fields like big data, sociology, and brain science. For more information and examples of projects you’ll be working on, click here.
- Manages access to IUNI owned/administered datasets by reviewing requests and creating or contacting those who can create the appropriate and required accounts.
- Provides user support for IUNI dataset users.
- Ensures that datasets are up to date and accessible to valid users.
- Designs and develops systems that are capable of ingesting, storing, and retrieving data from IUNI datasets.
- Troubleshoots and maintains these data storage and retrieval systems.
- Collaborates with IUNI and IU IT staff to fulfill these duties.
- Provides experienced design, development, and implementation of databases with an emphasis on performance, security, and stability; determines technical feasibility and design solutions related to hardware and software requirements; conducts related planning, programming, data modeling, data flow diagramming, structural design, and testing.
- Delivers and reports on data through the development of stored procedures, triggers, functions, and views; creates database queries, indexes, and writes data load scripts; designs, tunes, and indexes data tables.
- Troubleshoots issues and develops normalized database solutions; reviews monitoring tools and query execution plans to maintain or increase query efficiency; performs root cause analysis on query performance issues.
- Creates and maintains documentation for all database development projects and/or activities.
- Researches and stays current with database development trends and best practices; recommends database standards, policies, and procedures.