GenAI Python Systems Engineer - Senior Associate

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics Engineering team you leverage your proficiency in programming languages and cloud platforms to design and implement data architecture strategies that meet business needs. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building meaningful client connections and navigating ambiguity. You collaborate with business stakeholders to translate data requirements into technical solutions, safeguarding data quality and system reliability.

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

• 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, * 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

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

PwC provides services to 420 out of 500 Fortune 500 companies. The firm was formed in 1998 by a merger between Coopers & Lybrand and Price Waterhouse.