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"Data Engineer"

2 months ago

Laurel, United States TechnoGen Full time
Title: Data Engineer
Client: University of Maryland Global Campus
Duration: 1 Year
Any visa is fine
Work Location: Hybrid. 3 days and 2 days remote. Local resources are highly preferred.
Address: University of Maryland Global Campus 3501 University Boulevard East Adelphi, Maryland
20783
• Must have experience with AWS, Python, APIs, and other ETL tools
• Provide a daily load of system data into the data warehouse environment including resolution of connection and job process failure issues. Provide on-call support for daily loads with appropriate communication/escalation as necessary.
• Coordinate with IT and platform teams on updates/changes to source systems (Peoplesoft,
Salesforce, etc.) that impact data warehouse data, including testing of major releases of source systems for impact to data warehouse reporting.
• Maintain and enhance existing data integrations with key source systems to include SIS (PeopleSoft), CRM (Salesforce & Marketing Cloud), LMS (D2L), Workday, Marketing data feeds, Institutional Advancement (Ellucian Advance), and others.
• Evaluate, scope, and deploy new or migrate existing data integrations as needed.
• Provide daily extracts of data for ingestion of data warehouse data into other internal or external systems to include CRM (Salesforce), Assessment, Marketing vendors, and others.
• Course Evaluation Data Integration - provide daily data availability for prompt delivery of course evaluations surveys delivered by a third-party survey tool.
• Consume results of evaluations into performance reporting.
• Provide ongoing data warehouse and data modeling design to maintain the platform and respond to evolving business needs. Maintain data lake repository for storage of transactional data from source systems.
• Maintain star schema data models to support business needs and efficiency of data solutions and tools.
• Maintain metadata layer of the data warehouse optimizing ease of use for end users. Prioritize daily refresh of the reporting layer based on source data availability and end user needs.
• Perform required updates to include changes in definitions, new fields added to existing systems, and new aggregations to support alternative forms of analysis.
• Troubleshoot issues that are identified within existing and new data models in partnership analysts or business contact.