table border="0">| 72 Months DB2 Database Administration Expertise: Experience in administering DB2 databases on Linux environments, including installation, configuration, performance tuning, backup/recovery, and security management |
| 84 Months Red Hat Linux Proficiency: Experience with Red Hat Linux operating systems, including command-line administration, scripting, and system troubleshooting. |
| 84 Months Database Performance Tuning and Optimization Expertise: Experience with analyzing and resolving performance bottlenecks in Db2 databases, including query optimization, index management, buffer pool tuning, and workload management. |
| 84 Months High Availability and Disaster Recovery (HADR) for Db2: Experience in setting up, configuring, and managing Db2 HADR solutions to ensure business continuity and data resilience. |
| 60 months Google Cloud Platform (GCP) Expertise: Experience with GCP services relevant to database deployments, such as Compute Engine (for bare metal instances), networking (VPCs, firewalls), storage (Persistent Disks), and IAM for access control. |
| 60 months Scripting and Automation: Experience in scripting languages such as Bash, Python, or Perl for automating routine database administration tasks, deployments, and monitoring. |
| 60 months Troubleshooting and Problem-Solving: Experience in analyzing and problem solving to quickly diagnose and resolve complex issues related to Db2, RHEL, and their interaction within the GCP environment. |
| 84 Months Backup and Recovery Strategies: Experience in designing, implementing, and testing robust backup and recovery strategies for Db2 databases, including full, incremental, and log backups, and performing point-in-time recoveries. |
| 84 Months Monitoring and Alerting: Experience with setting up and utilizing monitoring tools (e.g., Dynatrace, Data Management Console, or GCP's native monitoring tools) to track Db2 and RHEL system health, performance, and to configure proactive alerts. |
| 84 Months Security Best Practices: Experience in implementation of security best practices for both Db2 databases and RHEL systems, including user and group management, access control, encryption, and vulnerability management. |
The ideal candidate will guide state and collaborate with cross-functional teams in these areas.| Daily tasks include, but are not limited to: Morning Check-in: Review overnight alerts and monitoring dashboards for any critical issues across DB2 systems. |
| 84 months of experience utilizing Oracle Enterprise Manager (OEM) to pro-actively detect issues making use of advanced features such as metric extensions, monitoring templates, etc. |
| 36 months of experience installing, configuring, patching, upgrading, and maintaining APEX (database tier) on version 12c or higher databases. |
| Bachelor's degree in computer science or a related field. |
| 84 months of experience documenting processes, inclusive of creation of system architecture diagrams, etc. |
| 36 months of experience maintaining server hardware (racking and stacking, cabling, component replacement, etc). |
Experience must be specifically with High Availability (HA) models configured with version 12c or higher RAC databases.| 84 months of experience troubleshooting Oracle 12c or higher database performance and other related issues; specifically by working with other teams to identify if the issue is at the storage, network, database, or application tier. |
84 months of experience using Data Pump Export/Import -and- RMAN for backup and recovery of Oracle 12c or higher databases.Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. |