What are the responsibilities and job description for the Data Engineer position at Finezi Inc.?
Title: Data Engineer, Senior
Duration: 10 months
Description:
***LOCAL CANDIDATES STRONGLY PREFERRED. Otherwise, candidates within state of CA***
Work model: Hybrid – once to twice a month between San Ramon and Oakland
TOP THINGS:
Candidate with Power App skills, and demonstrated work with customers/ front facing
• 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.
• 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.