Graduate Industry Traineeship – Data Engineer, 6 months - D01 Cecil, Marina, People’s Park, Raffles Place, SG

Roles & Responsibilities

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com .

Our Firmwide Corporate Services unite to help build our competitive advantage with first class support internally. Spanning Administration, Business Development, Chairman’s Office, Compliance, Finance, Human Resources, Learning and Development, Legal, Marketing and Communications, Operations and Change Management, and Technology, we power our lines of services to make sure all of us have the right sources, services and technology to be the best we can be.

Not all of us work directly with external clients. Some of our most talented people choose to harness their skills, experience, expertise and service excellence within PwC. The possibilities are endless and our business landscape is changing everyday.

How will you value-add?

• Design, develop, and maintain robust ETL / ELT pipelines using tools like Azure Data Factory, Azure Data Bricks and MS Fabric.
• Build and optimize Data Architectures (Data lakes, Data warehouses) on Azure Data Services, Azure SQL PaaS and Power BI
• Collaborate with data analysts, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and security across all data systems along with authentication and authorizations for Database.
• Monitor and troubleshoot data pipeline performance and reliability.
• Implement best practices for data governance, metadata management, and documentation.
• Memory management for database systems.
• Develop database schemas, tables and dictionaries.
• Ensure the data quality and integrity in databases and fix any issues related to database performance and provide corrective measures.
• Work with structured and unstructured data from various sources (APIs, databases, flat files, etc.).

About you

Tell employers what skills you have

Warehousing

Azure

Data Modeling

Pipelines

T-SQL

Data Quality

Data Governance

Metadata

C#

Orchestration

Service Excellence

Power BI