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PwC Philippines is seeking a Manager in Advisory, specializing in Platform Engineering & Architecture, to design and build data infrastructure and pipelines for client projects. You will leverage Azure Databricks and modern data platforms to transform raw data into insights and drive business outcomes.
The role emphasizes data modelling, domain knowledge of Asset Management, and implementation on Microsoft Azure and Databricks, with strong Python, JIRA, Confluence, and DevOps skills.
Advisory
Not Applicable
Platform Engineering & Architecture
Manager
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.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Min 5 years experience in data modelling
Deep business domain understanding of Asset Management (must have)
Data Model implementation experience on Microsoft Azure and Databricks
Advanced MS Azure, Databricks and Phython, JIRA, Confluence, DevOps
#PwCSEACPH
(if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
(if blank, certifications not specified)
Data Driven Modeling, Data Modeling Techniques, Data Modeling Tools, Microsoft Azure Databricks
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 23 more}
(If blank, desired languages not specified)
Not Specified
No
Yes