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. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Years of Experience: Candidates with 15+ years of hands on experience

Preferred Skills

• any cloud data and reporting migration experience
• Use an analytical and data driven approach to drive a deep understanding of fast changing business
• Have familiarity with data technologies such as snowflake, databricks, redshift, synapse
• Leading large-scale data modernization and governance initiatives emphasizing the strategy, design and development of Platform-as-a-Service, Infrastructure-as-a-Service that extend to private and public cloud deployment models
• Experience in designing, architecting, implementation, and managing data lakes/warehouses.
• Experience with complex environment delivering application migration to cloud platform
• Understanding of Agile, SCRUM and Continuous Delivery methodologies
• Hands-on experience with Docker and Kubernetes or other container orchestration platforms
• Strong Experience in data management with an understanding of analytics and reporting
• Understanding of emerging technologies and latest data engineering providers
• Experience in implementing enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standards.
  
  

Educational Background

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA