Responsibilities
- Possess an understanding of end-to-end remediation project workflows to drive process improvements.
- Maintain databases and data processing systems.
- Ensures data is accessible, reliable, secure, and efficiently processed.
- Combines, optimizes, and manages multiple large-scale data sources.
- May be responsible for creating automated reporting systems and data solutions.
- Provides software solutions that move data from its source to internal databases, including data warehouses.
- Responsible for maintenance of data pipelines to support data analysis and reporting.
- Analyzes complex issues and recommends solutions that improve data storage processes and methodologies.
- Uses judgment outside defined parameters and precedents to make decisions and resolve business and technical challenges.
- Accountable for the results of assigned projects and processes.
- Demonstrates strong proficiency in data programming languages.
- Demonstrates strong knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions.
- Demonstrates strong knowledge of API (Application Programming Interface) integration to support data access, collection, distribution, transformation, and ELT (Extract, Load, Transform) processes.
- Applies algorithmic and statistical methods, data processing tools, and AI-enabled approaches to support efficient data consumption and analysis.
Requirements
- Understanding of end-to-end remediation project workflows
- Ability to maintain databases and data processing systems
- Ensures data is accessible, reliable, secure, and efficiently processed
- Combines, optimizes, and manages multiple large-scale data sources
- Responsible for maintenance of data pipelines to support data analysis and reporting
- Analyzes complex issues and recommends solutions that improve data storage processes and methodologies
- Uses judgment outside defined parameters and precedents to make decisions and resolve business and technical challenges
- Accountable for the results of assigned projects and processes
- Demonstrates strong proficiency in data programming languages
- Demonstrates strong knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions
- Demonstrates strong knowledge of API integration to support data access, collection, distribution, transformation, and ELT processes
- Applies algorithmic and statistical methods, data processing tools, and AI-enabled approaches to support efficient data consumption and analysis
