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    Data Engineer- Gen AI - Hyderabad, India - PricewaterhouseCoopers Service Delivery Center (Bangalore) Private Limited

    PricewaterhouseCoopers Service Delivery Center (Bangalore) Private Limited
    PricewaterhouseCoopers Service Delivery Center (Bangalore) Private Limited Hyderabad, India

    1 week ago

    PricewaterhouseCoopers Service Delivery Center (Bangalore) Private Limited background
    Description
    :
    GenAI Data Engineering - Manager


    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.

    Advanced programming skills in Python and proficiency in data processing frameworks like Apache Spark.

    Expertise in SQL and sophisticated database management systems.

    In-depth knowledge of event-driven architectures and real-time data processing.

    Proven experience with containerization technologies like Kubernetes and Docker.

    Extensive experience managing data lakes and understanding of data lake architecture.

    Familiarity with LLM frameworks such as Langchain and Semantic Kernel.

    Robust experience with cloud computing platforms such as Azure or AWS.

    Exceptional leadership, problem-solving, and analytical skills.

    Superior communication and collaboration abilities, capable of leading high-performing teams.

    Ability to navigate a fast-paced and dynamic work environment.

    Nice to Have Skills:


    Proficiency with technologies like Databricks, Azure AI Search, Azure OpenAI, Azure Event Hub, Azure Data Lake Storage, AWS Open Search, AWS Bedrock, AWS Event Bridge, AWS S3, Azure Key Vault, Hashicorp Key Vault, DataDog, and Splunk.

    Relevant advanced certifications in solution architecture and cloud computing.


    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.


    EducationDegrees/Field of Study required:

    Degrees/Field of Study preferred:
    CertificationsRequired SkillsOptional SkillsDesired LanguagesTravel RequirementsNot Specified

    Available for Work Visa Sponsorship?No

    Government Clearance Required?No

    Job Posting End Date
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