GenAI Python Systems Engineer-Manager

divh2Data And Analytics Engineering Manager / h2pAt 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 members 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. / ppExamples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to : / pulliAnalyse and identify the linkages and interactions between the component parts of an entire system. / liliTake ownership of projects, ensuring their successful planning, budgeting, execution, and completion. / liliPartner with team leadership to ensure collective ownership of quality, timelines, and deliverables. / liliDevelop skills outside your comfort zone, and encourage others to do the same. / liliEffectively mentor others. / liliUse the review of work as an opportunity to deepen the expertise of team members. / liliAddress conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. / liliUphold and reinforce professional and technical standards, the Firms code of conduct, and independence requirements. / li / ulpAs part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide and mentor your team, delivering top-quality solutions while leveraging team strengths and managing performance to meet client expectations. You play a crucial role in collaborating with stakeholders, enhancing cloud resources, and embracing technology and innovation to improve data architecture and integration solutions. / ppResponsibilities : / pulliLead the design and execution of data architecture strategies that support business objectives / liliMentor and guide team members to deliver exceptional solutions / liliUtilize team strengths to manage performance and fulfill client requirements / liliCollaborate with stakeholders to enhance cloud resources effectively / liliDrive innovation and technology adoption to advance data integration solutions / liliFoster a culture of continuous improvement and learning within the team / liliUphold the firms ethical standards and business conduct / liliImplement strategic planning to achieve project success and quality outcomes / lipWhat You Must Have : / pulliBachelors Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics / lili5 years of experience / lipWhat Sets You Apart : / pulliCertification 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 / liliProficient in Python and SQL / liliExperience with Docker and containerized deployments / liliSkilled in AI techniques enhancing LLMs / liliExperience in prompt engineering for LLM optimization / liliImplementing data integration solutions using AWS, Azure, GCP / liliUtilizing AWS CloudFormation, Azure Resource Manager, Terraform / liliBuilding and deploying DevOps pipelines with cloud services / liliEnhancing cloud resources for cost and performance / li / ulpPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy : https : / / pwc.to / H-1B-Lottery-Policy. As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. The salary range for this position is : $99,000 - $232,000. Actual compensation within the range will be dependent upon the individuals 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. / p / ul / ul / div