Data Manager (Oil, Gas, Remediation) at AECOM — Phoenix, AZ

Duties include but are not limited to:

• 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.

Minimum Requirements:

• BA/BS Computer Science, Information Science, Data Engineering or related field and 6 years of relevant experience or demonstrated equivalency of experience and/or education.

Preferred Qualifications:

• Experience with environmental software implementation in a consulting / O&G environment, including knowledge in one or more EDM software package(s) such as Earthsoft EQuIS Suite (Professional, Enterprise, EnviroInsite, etc.) and Locus EIM strongly preferred.
• Experience in environmental data management, chemistry, analytical data validation, environmental data analysis and/or visualization.
• Experience in data engineering, business intelligence (BI), or analytics development.
• Strong proficiency in SQL and experience with relational and analytical databases. Proficiency in Python or a similar scripting language.
• Experience developing interactive dashboards and data visualizations using Power BI, Tableau, Looker, or similar business intelligence tools.
• Experience designing and supporting data pipelines, data integration, and ETL/ELT processes.
• Experience working with cloud-based or enterprise data warehousing solutions.
• Familiarity with enterprise business systems such as Oracle, Workday, CMiC, or similar enterprise platforms.
• Advanced Microsoft Suite skills, including the Power Platform, with proficiency in data analysis, automation, and reporting.
• Understanding of data quality, data governance, and metadata management. Follow naming convention guidance and provide proper documentation as required.
• Commitment to working in a collaborative, team environment.
• This position does not include sponsorship for United States work authorization now or in the future.
• This position does not include relocation

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