Data Engineer
Role details
Job location
Tech stack
Job description
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.
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Only those lawfully authorized to work in the designated country associated with the position will be considered.
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Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.
Requirements
Bachelor's (BA/BS) in Computer Science, Management Information Systems or related field of study, or equivalent experience.
Top Skills:
Candidate with Power App skills and demonstrated work with customers/ front facing.
Required Skills:
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.
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 Client systems to establish robust and secure data flow across platforms.
