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Industry/Sector
Not ApplicableSpecialism
Advisory - OtherManagement Level
Senior AssociateJob Description & Summary
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.Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Opportunity
When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data Science and Machine Learning Engineering team you will architect and deliver end-to-end AI-integrated applications at scale. As a Senior Associate, you will lead teams and projects, promoting successful implementation of innovative solutions while driving performance and security across cloud-native and on-prem deployments.
Responsibilities
- Architect and implement AI-integrated applications at scale
- Lead project teams to secure successful solution delivery
- Drive performance and security across various deployments
- Mentor team members in technical and project management skills
- Collaborate with stakeholders to define project requirements
- Analyze and enhance application performance and scalability
- Embrace innovative technologies to improve project outcomes
- Uphold exemplary practices in software development and engineering
What You Must Have
- Bachelor's Degree
- 4 years of experience
- Oral and written proficiency in English required
What Sets You Apart
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Having strong Data Engineering skills to design and build scalable and enterprise grade data pipelines utilizing PySpark, Python, SQL, Azure and Databricks.
Having a strong technical background and experience on Databricks platform with a strong understanding of workflows, DLT, Asset Bundles and Unity catalog etc.
Having deep understanding of Data modeling techniques and Architectures like Delta Lake, DWH and Lakehouse architecture.
Experience setting up CI/CD, automated testing and version control for fast and reliable deployments.
Experience in ML techniques, RAG and Agentic frameworks like Langchain, LangGraph etc.
Solid understanding of Distributed systems, and experience with Apache Spark framework
Experience with Mosaic AI on Databricks is highly desirable.
Interest and enthusiasm for transforming the way that we will be delivering work as part of the Delivery Excellence team.
Travel Requirements
Not SpecifiedJob Posting End Date
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