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PowerApps Developer / Data Engineer - (Hybrid)FineziUnited States

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PowerApps Developer / Data Engineer - (Hybrid)

Finezi
  • US
    United States
  • US
    United States

À propos

TOP THINGS: candidate with Power App skills, and demonstrated work with customers/ front facing
Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunity
**With prior PG&E Manager approval, may expense for Mileage and travel reimbursements** • Expertise in building, customizing, and maintaining PowerApps solutions. • Comprehensive understanding of Dataverse, including schema design, security, and integration capabilities. • Experience with backend Power Platform technologies, particularly in designing and implementing data integrations. • Ability to work with Fabric and PG&E systems to establish robust and secure data flow across platforms. • Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed. • Partners with various departments to understand and incorporate standards information and requirements into work procedures. • Deploys machine learning algorithms in production environments. • Resolves application programming analysis problems of moderate to complex scope within procedural guidelines. May seek assistance from the supervisor or more skilled programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas. • Works on complex data and analytics-centric problems having moderate impact that require in-depth analysis and judgment to obtain results or solutions • Plans work to meet assigned general objectives; progress is reviewed upon completion and solutions may provide an opportunity for creative/non-standard approaches. • Communicates (oral and written) recommendations. • Mentors/provides guidance to less experienced colleagues. EDUCATION MINIMUM • BA/BS in Computer Science, Management Information Systems or related field of study, or equivalent experience. SKILLS MINIMUM • 5 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE. • Experience with machine learning algorithm deployment. • Business Intelligence and data access tool knowledge. • Knowledge of software engineering principals such as unit testing, CI/CD, source control. xywuqvp Remote working/work at home options are available for this role.
  • United States

Compétences linguistiques

  • English
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