"Data Engineer"

1 week 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.
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