Pwc Hiring Drive 2024: Pwc Hiring Drive 2024 for its Data Engineer – Gen AI – Associate 2. PwC Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science, Data Science, or a related field. if you are interested, please apply as soon as possible.
Company Name: Pwc
Role: Data Engineer – Gen AI – Associate 2
Location: Bangalore
Experience: 1-3 years
Qualification: Bachelor’s degree in Computer Science, Data Science, or a related field.
Batch: Any
Job Type: Full Time
Salary: 6.0 To 8.0 LPA (Expected)
Pwc Hiring Drive 2024
Job Description:
- As an Associate, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.
- PwC Professional skills and responsibilities for this management level include but are not limited to:
- Invite and give in the moment feedback in a constructive manner.
- Share and collaborate effectively with others.
- Identify and make suggestions for improvements when problems and/or opportunities arise.
- Handle, manipulate and analyse data and information responsibly.
- Follow risk management and compliance procedures.
- Keep up-to-date with developments in area of specialism.
- Communicate confidently in a clear, concise and articulate manner – verbally and in the materials I produce.
- Build and maintain an internal and external network.
- Seek opportunities to learn about how PwC works as a global network of firms.
- Uphold the firm’s code of ethics and business conduct.
Requirements:
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- 1-3 years of relevant experience, ideally with some exposure to GenAI projects.
- Basic programming skills in Python.
- Familiarity with data processing frameworks like Apache Spark or similar.
- Understanding of SQL and basic database management systems.
- Some knowledge of event-driven architectures and real-time data processing.
- Exposure to containerization technologies like Kubernetes and Docker.
- Awareness of data lakes and basic data lake management principles.
- Some familiarity with LLM frameworks such as Langchain and Semantic Kernel.
- Experience with cloud computing platforms such as Azure or AWS is a plus.
- Strong analytical and problem-solving skills.
- Good communication and collaboration abilities.
- Ability to work in a fast-paced and dynamic environment.
Responsibility:
- Assist in the design, development, and maintenance of data pipelines and ETL processes for GenAI projects.
- Work closely with data scientists and software engineers to support the implementation of machine learning models and algorithms.
- Help optimize data infrastructure and storage solutions to ensure efficient data processing.
- Gain experience with event-driven architectures to enable real-time data processing and analysis.
- Learn and assist with containerization technologies like Kubernetes and Docker for deployment and scalability.
- Support the development and maintenance of data lakes for managing large volumes of structured and unstructured data.
- Contribute to the integration of LLM frameworks (such as Langchain and Semantic Kernel) for advanced language processing and analysis.
- Collaborate with cross-functional teams to support the design and implementation of solution architectures for GenAI projects.
- Utilize cloud computing platforms such as Azure or AWS under supervision for data processing, storage, and deployment.
- Participate in monitoring and troubleshooting of data pipelines and systems to ensure smooth operations.
- Stay informed about the latest advancements in GenAI technologies and assist in recommending innovative solutions to enhance data engineering processes.
- Engage with cross-functional teams to help understand business requirements and contribute to translating them into technical solutions.
- Assist in documenting data engineering processes, methodologies, and best practices.
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