Gen Ai Data Engineer

Job Description: GenAI Data Engineering - Manager (PwC US AC)

PwC US - Acceleration Center is looking for an experienced and visionary GenAI Data Engineer to join our team as a Manager. This leadership role involves overseeing the development and maintenance of data pipelines, the implementation of machine learning models, and the optimization of data infrastructure for our GenAI projects. The ideal candidate will have an extensive background in data engineering, with a deep focus on GenAI technologies, and a solid understanding of data processing, event-driven architectures, containerization, and cloud computing.

Responsibilities:

• Lead the design, development, and maintenance of robust data pipelines and ETL processes for GenAI projects.

• Manage and guide a team of data scientists and software engineers in implementing complex machine learning models and algorithms.

• Strategize and optimize data infrastructure and storage solutions to ensure efficient, scalable, and reliable data processing across projects.

• Champion the implementation of event-driven architectures to facilitate real-time data processing and analysis.

• Oversee the deployment of containerization technologies like Kubernetes and Docker to enhance scalability and operational efficiency.

• Direct the development and governance of data lakes, ensuring effective management of large volumes of structured and unstructured data.

• Lead the integration of LLM frameworks (such as Langchain and Semantic Kernel) to advance language processing and analytical capabilities.

• Collaborate with cross-functional teams to architect and implement solution frameworks that align with GenAI project goals.

• Leverage cloud computing platforms like Azure or AWS to maximize data processing, storage, and deployment efficiency.

• Monitor, diagnose, and resolve issues within data pipelines and systems to maintain continuous and smooth operations.

• Stay at the forefront of GenAI technology advancements and introduce innovative solutions to elevate data engineering practices.

• Translate complex business requirements into effective technical solutions, driving project success and technological innovation.

• Document and standardize data engineering processes, methodologies, and best practices across teams.

• Ensure professional development and certification in solution architecture for team members, maintaining industry best practices.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

• 10+ years of relevant technical/technology experience, with a strong emphasis on GenAI projects

• Python Proficiency: Minimum 3 years of hands-on experience building applications with Python.

• Scalable System Design: Solid understanding of designing and architecting scalable Python applications, particularly for Gen AI use cases, with a strong understanding of various components and systems architecture patterns to make cohesive and decoupled, scalable applications.

• Web Frameworks: Familiarity with Python web frameworks (Flask, FastAPI) for building web applications around AI models.

• Modular Design & Security:Demonstrated ability to design applications with modularity, reusability, and security best practices in mind (session management, vulnerability prevention, etc.,).

• Cloud-Native Development: Familiarity with cloud-native development patterns and tools (e.g., REST APIs, microservices, serverless functions).

• Cloud Deployments: Experience deploying and managing containerized applications on Azure/AWS (Azure Kubernetes Service, Azure Container Instances, or similar).

• Version Control (Git):  Strongproficiency in Git for effective code collaboration and management.

• CI/CD: Knowledge of continuous integration and deployment (CI/CD) practices on cloud platforms.

• 3-5 years of relevant technical/technology experience, with a focus on GenAI projects.

• Strong programming skills in Python.

• Experience with data processing frameworks like Apache Spark or similar.

• Proficiency in SQL and database management systems.

Preferred Skills:

• Gen AI Frameworks:  Experience with LLM frameworks or tools for interacting with LLMs such as LangChain, Semantic Kernel, LlamaIndex

• Data Pipelines: Experience in setting up data pipelines for model training and real-time inference.

Join PwC US - Acceleration Center as a Manager in GenAI Data Engineering to lead strategic initiatives and contribute to pioneering GenAI solutions. We offer a stimulating work environment that fosters innovation and significant opportunities for professional growth and advancement.