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PwC · 1 day ago

GenAI Python Systems Engineer – Senior Associate

Salt Lake City, UT

Full-time

Hybrid

Mid Level

$77K/yr - $202K/yr

3+ years exp

PwC is a leading professional services firm, and they are seeking a Senior Associate for their Data and Analytics Engineering team. In this role, you will design and implement data architecture strategies, collaborate with stakeholders to convert data requirements into technical solutions, and mentor team members while maintaining data integrity and system reliability.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

Responsibilities

Design and implement data architecture strategies aligned with business objectives

Collaborate with stakeholders to convert data requirements into technical solutions

Maintain data integrity and system dependability

Guide and mentor team members to uphold exemplary standards

Analyze intricate problems to deliver impactful solutions

Build and nurture meaningful client relationships

Navigate uncertain situations with confidence and adaptability

Utilize programming languages and cloud platforms to enhance data solutions

Qualification

PythonCloud PlatformsData ArchitectureSQLDockerData IntegrationPrompt EngineeringAI TechniquesData WarehousingData Lakes

Required

Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics

3 years of experience

Preferred

Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate,] is a plus

Skilled in programming languages like Python, Java, Scala

Proficient in SQL and relational databases

Experience with Docker and containerized deployments

Familiarity with AI techniques enhancing LLMs

Experience in prompt engineering for LLM outputs

Designing thorough data architecture strategies

Implementing data integration solutions using cloud services

Managing data warehouses and data lakes