GenAI Python Systems Engineer-Manager

About the position

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Responsibilities

• Lead the design and execution of data architecture strategies that support business objectives
• Mentor and guide team members to deliver exceptional solutions
• Utilize team strengths to manage performance and fulfill client requirements
• Collaborate with stakeholders to enhance cloud resources effectively
• Drive innovation and technology adoption to advance data integration solutions
• Foster a culture of continuous improvement and learning within the team
• Uphold the firm's ethical standards and business conduct
• Implement strategic planning to achieve project success and quality outcomes

Requirements

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

Nice-to-haves

• 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, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
• Proficient in Python and SQL
• Experience with Docker and containerized deployments
• Skilled in AI techniques enhancing LLMs
• Experience in prompt engineering for LLM optimization
• Implementing data integration solutions using AWS, Azure, GCP
• Utilizing AWS CloudFormation, Azure Resource Manager, Terraform
• Building and deploying DevOps pipelines with cloud services
• Enhancing cloud resources for cost and performance

Benefits

• Medical
• Dental
• Vision
• 401k
• Holiday pay
• Vacation
• Annual discretionary bonus