Overview
Full Time
Skills
Computer Science
Information Technology
Data Engineering
Training
SQL
Hyperion Planning
Financial Management
Communication
Cloud Computing
Data Visualization
Tableau
Microsoft Power BI
Attention To Detail
Customer Service
Analytical Skill
Conflict Resolution
Problem Solving
Migration
Analytics
Optimization
Enterprise Performance Management
Data Integrity
Data Management
Extract
Transform
Load
Technical Support
Performance Tuning
Data Processing
Reporting
Database Administration
Management
Database
Collaboration
Finance
Documentation
Data Security
Oracle
EPM
Job Details
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience in data engineering, database management, and supporting Oracle EPM systems.
A combination of education, training and experience may be considered in lieu of a degree.
A minimum of 5 years' progressive experience in a related field required.
Proficiency in SQL, ETL tools, and Oracle EPM applications (e.g., Hyperion Planning, Financial Management).
Strong analytical and problem-solving skills with the ability to troubleshoot complex issues.
Excellent communication skills to collaborate with technical and non-technical stakeholders.
Oracle EPM certifications are a plus.
Preferred Skills:
Experience with cloud-based EPM solutions.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Knowledge of financial processes and reporting.
Highly self-motivated and directed, with keen attention to detail.
Able to effectively prioritize tasks in a high-pressure environment.
Strong customer service orientation with proven analytical and problem-solving abilities.
Strong knowledge designing, implementing, migrating, and troubleshooting.
What you will be doing?
As a Data Engineer on the IT Enterprise Planning Analytics team, you will collaborate with a multi-disciplinary team of data scientists, engineers, architects, and analysts on a wide range of business and technical problems. Supporting Oracle EPM, your primary mission is to ensure the seamless operation and optimization of Oracle Enterprise Performance Management systems. You will play a crucial role in designing and maintaining data pipelines, troubleshooting technical issues, and collaborating with stakeholders to meet data requirements. Your expertise will drive the performance and reliability of EPM applications, safeguarding data integrity and enhancing overall system efficiency.
Responsibilities
Data Management: Design, develop, and maintain data pipelines and ETL processes to support Oracle EPM applications.
System Support: Provide technical support for Oracle EPM systems, including troubleshooting issues and implementing solutions.
Performance Optimization: Monitor and optimize the performance of EPM applications to ensure efficient data processing and reporting.
Database Management: Manage and maintain databases related to Oracle EPM, ensuring data accuracy and integrity.
Collaboration: Work closely with business analysts, finance teams, and other stakeholders to understand data requirements and deliver solutions.
Documentation: Create and maintain documentation for data processes, system configurations, and troubleshooting procedures.
Security: Implement and maintain data security measures to protect sensitive information within Oracle EPM systems.
Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience in data engineering, database management, and supporting Oracle EPM systems.
A combination of education, training and experience may be considered in lieu of a degree.
A minimum of 5 years' progressive experience in a related field required.
Proficiency in SQL, ETL tools, and Oracle EPM applications (e.g., Hyperion Planning, Financial Management).
Strong analytical and problem-solving skills with the ability to troubleshoot complex issues.
Excellent communication skills to collaborate with technical and non-technical stakeholders.
Oracle EPM certifications are a plus.
Preferred Skills:
Experience with cloud-based EPM solutions.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Knowledge of financial processes and reporting.
Highly self-motivated and directed, with keen attention to detail.
Able to effectively prioritize tasks in a high-pressure environment.
Strong customer service orientation with proven analytical and problem-solving abilities.
Strong knowledge designing, implementing, migrating, and troubleshooting.
What you will be doing?
As a Data Engineer on the IT Enterprise Planning Analytics team, you will collaborate with a multi-disciplinary team of data scientists, engineers, architects, and analysts on a wide range of business and technical problems. Supporting Oracle EPM, your primary mission is to ensure the seamless operation and optimization of Oracle Enterprise Performance Management systems. You will play a crucial role in designing and maintaining data pipelines, troubleshooting technical issues, and collaborating with stakeholders to meet data requirements. Your expertise will drive the performance and reliability of EPM applications, safeguarding data integrity and enhancing overall system efficiency.
Responsibilities
Data Management: Design, develop, and maintain data pipelines and ETL processes to support Oracle EPM applications.
System Support: Provide technical support for Oracle EPM systems, including troubleshooting issues and implementing solutions.
Performance Optimization: Monitor and optimize the performance of EPM applications to ensure efficient data processing and reporting.
Database Management: Manage and maintain databases related to Oracle EPM, ensuring data accuracy and integrity.
Collaboration: Work closely with business analysts, finance teams, and other stakeholders to understand data requirements and deliver solutions.
Documentation: Create and maintain documentation for data processes, system configurations, and troubleshooting procedures.
Security: Implement and maintain data security measures to protect sensitive information within Oracle EPM systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.