PwCPosted 8mo ago

DCD Manager

DCD Manager at PwC scores 12 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

MakatiseniorFull time

AI in this role

databricks

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Platform Engineering & Architecture

Management Level

Manager

Job 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.

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

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Driven Modeling, Data Modeling Techniques, Data Modeling Tools, Microsoft Azure Databricks

Optional Skills

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}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Yes

Job Posting End Date