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Data Engineer III – Onsite in Nashville, TN
Corecivic
Privately-managed correctional and detention facilities, providing services to government agencies.
Performs technical planning, system integration, verification and validation, cost, risk, and supportability analyses for total systems to solve complex, non-routine analytics problems.
Ensures the logical and systematic conversion of customer requirements into a solution roadmap that acknowledges technical, data quality, business process, schedule, and cost constraints.
Works with internal team members; effectively communicates with them in sharing, completing, and reviewing work. Provides documentation, mentoring, and training to stakeholders for solutions built or technologies being deployed.
Performs functional analysis, timeline analysis, requirements allocation, and interface definition studies to translate customer requirements into analytic solution specifications.
Works with data governance teams to ensure data quality, integrity, and compliance with CJIS, HIPAA, and company standards.
Manages problem and request tickets for assigned technology. Ensures availability of supported technology.
Maintains relationships with stakeholder departments and ensures all solutions and support are provided in the context of assisting application users succeed in their business goals.
Responsible for metadata strategy, change data capture and extract strategy, data cleansing and security strategy, various technical standards, performance metrics, and usage capacity metrics.
Leads design and build of analytic solutions using on-premise and cloud technologies supporting all project phases (concept, design, fabrication, test, installation, operation, maintenance, and data archive).
What you bring
oracle
azure
microsoft
leadership
sql
powerbi
Extensive background building and delivering data warehouse or data lake solutions using Oracle and/or Microsoft technologies such as Oracle Autonomous Data Warehouse, Azure Data Lake, Data Factory, Microsoft Fabric Synapse Analytics, and Power BI;
Two years of experience leading technology-based projects and experience with large databases or data warehouses in an online production environment.
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