Data Operations Engineer

Truist•Richmond, VA

23h•Hybrid

About The Position

Responsible for monitoring, supporting, and management of applications running in production, including managing and correcting issues and providing break-fix operation support. Drive all stages of the SDLC development process, providing input to the Development teams including designing, building, and testing. Develop useful tools such as internal software to automate key processes or platforms where customers can send inquiries and reviews. Troubleshoots technical issues. Analyze available data and find the root cause of the problem. Develop technical solutions by providing problem analysis and resolution in a timely manner and explain and interpret complex, difficult, or sensitive information. Provide users with progress updates. Prepare extensive documentation when logging into product issues including observations, diagnoses, and action steps. Generate weekly reports summarizing production performance, release notes for upgrades, and troubleshooting guides. Take a new perspective on existing solutions to solve problems of moderate to high complexity and exercise judgment based on the analysis of multiple sources of information. Lead small data engineering projects with manageable risks and resource requirements; play significant roles in larger, more complex initiatives.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering or related technical field
3 years of experience in application development and/or production support positions
In-depth knowledge of data technologies, including ETL, Data warehouse, Databases, SAS and other Analytics tools
Planning and managing IT projects
Knowledge of ITIL processes
Utilizing experience with: Mainframe zOS, COBOL, JCL, VSAM, CICS, DB2, Stored Procedures, UNIX, SQL, Easytrieve, Changeman, Endevor, CA7, SPUFI, File Manager, IBM Debugger, Fault Analyzer, Agile Methodology, REXX, Ansible, Dynatrace, SCOM, Splunk, and Kenna Tool

Responsibilities

Monitoring, supporting, and management of applications running in production
Managing and correcting issues
Providing break-fix operation support
Driving all stages of the SDLC development process
Designing, building, and testing applications
Developing useful tools such as internal software to automate key processes or platforms
Troubleshooting technical issues
Analyzing available data to find the root cause of problems
Developing technical solutions
Explaining and interpreting complex, difficult, or sensitive information
Providing users with progress updates
Preparing extensive documentation for product issues
Generating weekly reports summarizing production performance
Creating release notes for upgrades
Developing troubleshooting guides
Solving problems of moderate to high complexity
Leading small data engineering projects
Playing significant roles in larger, more complex initiatives