Data Operations Engineer

Truist Bank•Richmond, VA

1d•Hybrid

About The Position

Responsible for monitoring, supporting, and managing applications running in production, including managing and correcting issues and providing break-fix operational 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
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 and providing break-fix operation support
Driving all stages of the SDLC development process, providing input to the Development teams including designing, building, and testing
Developing useful tools such as internal software to automate key processes or platforms where customers can send inquiries and reviews
Troubleshooting technical issues
Analyzing available data and finding the root cause of the problem
Developing technical solutions by providing problem analysis and resolution in a timely manner
Explaining and interpreting complex, difficult, or sensitive information
Providing users with progress updates
Preparing extensive documentation when logging into product issues including observations, diagnoses, and action steps
Generating weekly reports summarizing production performance, release notes for upgrades, and troubleshooting guides
Taking a new perspective on existing solutions to solve problems of moderate to high complexity and exercising judgment based on the analysis of multiple sources of information
Leading small data engineering projects with manageable risks and resource requirements
Playing significant roles in larger, more complex initiatives