GenAI Python Systems Engineer – Senior Associate

Position Overview

At PwC, our people in data and analytics engineering leverage advanced technologies and techniques to transform raw data into actionable insights, enabling informed decision‐making and driving business growth. In data engineering at PwC, you will design and build robust data infrastructure and systems, develop and implement data pipelines, and drive data integration and transformation solutions. You'll also focus on building meaningful client connections, mentoring team members, and navigating ambiguous situations to continuously grow your technical expertise and personal brand.

Key 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

Required Qualifications

• 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 industry experience

Preferred Qualifications

• 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
• Experience designing thorough data architecture strategies and implementing data integration solutions using cloud services
• Proven experience managing data warehouses and data lakes

Benefits & Perks

• Compensation: $77,000 - $202,000 with potential for an annual discretionary bonus (actual compensation is dependent upon individual skills, experience, qualifications, location and applicable employment laws)
• Medical, dental, and vision coverage
• 401(k) plan
• Holiday pay, vacation, personal and family sick leave
• A wide range of additional benefits